US20050265498A1 - Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers - Google Patents
Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers Download PDFInfo
- Publication number
- US20050265498A1 US20050265498A1 US11/131,524 US13152405A US2005265498A1 US 20050265498 A1 US20050265498 A1 US 20050265498A1 US 13152405 A US13152405 A US 13152405A US 2005265498 A1 US2005265498 A1 US 2005265498A1
- Authority
- US
- United States
- Prior art keywords
- filter
- signal
- pass
- channel filter
- low
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
- H04B1/1027—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal
- H04B1/1036—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal with automatic suppression of narrow band noise or interference, e.g. by using tuneable notch filters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/18—Phase-modulated carrier systems, i.e. using phase-shift keying
- H04L27/22—Demodulator circuits; Receiver circuits
Definitions
- the invention relates to an adaptive channel filter for a receiver unit for a mobile communications system, and to a method for setting a variable pass bandwidth for a channel filter.
- FIGS. 1 a to 1 c show three important interference influences during reception of a narrowband payload signal such as this.
- FIGS. 1 a to 1 c respectively show the spectral profile of a received signal 1 in the presence of interference 2 . 1 , 2 . 2 and 2 . 3 .
- FIG. 1 a shows the narrowband received signal 1 in the presence of noise, which represents broadband interference 2 . 1 .
- FIGS. 1 b and 1 c show two cases of multiple access interference, of multiple access interference (MAI), specifically cochannel interference ( FIG. 1 b ) and adjacent channel interference ( FIG. 1 c ). While the interference 2 . 2 in the case of cochannel interference occurs in the same subscriber frequency band as the desired signal 1 , and is caused, for example, by an active subscriber in another cell in the network, the interference 2 . 3 in the case of adjacent channel interference occurs in one of the two adjacent subscriber frequency bands.
- multiple access interference MAI
- the interference 2 . 2 in the case of cochannel interference occurs in the same subscriber frequency band as the desired signal 1 , and is caused, for example, by an active subscriber in another cell in the
- the influence of adjacent channel interference is influenced by the channel width of the subscriber frequency bands and the symbol frequency used in the system. In order to achieve a high system subscriber capacity and a high data rate, it is desirable to use narrow channel widths and high symbol frequencies. On the other hand, this results in an increase in the adjacent channel interference which, however, must not exceed a specific limit.
- the symbol frequency is 270.833 kHz and the channel width, as already mentioned, is 200 kHz. This means that the desired signal 1 and the interference 2 . 3 caused by adjacent channel interference spectrally overlap one another, as is shown in FIG. 1 c . It is not possible to completely suppress the adjacent channel interference without constraining the spectrum of the desired signal 1 .
- the channel filter which is used to filter out the desired subscriber frequency band has a fixed, predetermined bandwidth.
- the chosen bandwidth represents a compromise between the mutually contradictory aims of utilization of the subscriber frequency band as well as possible for signal detection and suppression of adjacent channel interference as well as possible. This compromise is necessarily sub-optimal in many receiving situations.
- German Patent Application DE 101 52 628.8 which only represents the prior art in accordance with ⁇ 3(2) of the German Patent Act with reference to the present application, has proposed an adaptive channel filter for mobile radio receivers and a method for adaptive channel filtering, in which the pass bandwidth of the channel filter is set as a function of the strength of the adjacent channel interference. This results in an adaptive channel filter by means of which the payload signal can always be optimally filtered in different receiving and interference situations.
- FIG. 2 shows an embodiment which was described in this older application.
- the adaptive channel filter has a filter 200 with a variable pass bandwidth, and has a control device 30 for setting the pass bandwidth of the filter 200 .
- the adaptive channel filter is preferably a digital low-pass filter, which is located in the baseband processing section of a mobile radio receiver.
- the signal 40 which is supplied to the adaptive channel filter has, for example, already been frequency-selected and/or subscriber-selected by suitable down-mixing of the frequency of the desired subscriber frequency band to baseband, but has not yet or has not been adequately bandwidth-limited.
- the filter 200 which is shown with the dashed boundary and has a variable pass bandwidth has a first low-pass filter 200 . 2 which has a cut-off frequency above the desired signal.
- the filter 200 also has a series arrangement of the low-pass filter 200 . 2 and of a downstream constriction or limiting filter 200 . 3 .
- the constriction filter 200 . 3 has the function of somewhat reducing the spectral pass band of the low-pass filter 200 . 2 , that is to say the series arrangement of the filters 200 . 2 and 200 . 3 behaves like a single low-pass filter with a cut-off frequency which is lower than the cut-off frequency of the low-pass filter 200 . 2 .
- the outputs of the low-pass filters 200 . 2 and 200 . 3 are passed to the inputs of a selection switch 210 .
- the selection switch 210 has a control input 22 , via which one of the supplied filter signals can be selected and can be switched with a variable pass bandwidth to an output 23 of the filter 200 .
- a bandpass filter 200 . 4 to which the signal 40 is likewise supplied, is connected in parallel with the channel filter 200 with the variable pass bandwidth.
- the bandpass filter selects the spectral component from the adjacent channel interference source from the signal 40 .
- the principle of operation of the adaptive channel filter shown in FIG. 2 is based on a power comparison between the signals x, and x 2 , which are filtered by the bandpass filter 200 . 4 and the low-pass filter 200 . 2 and are supplied to the control device 30 .
- the power of the signal which is emitted from the low-pass filter 200 . 2 is relatively small in comparison to the power of the signal which is filtered by the bandpass filter 200 . 4 , since the bandpass filter 200 .
- the selection switch 210 passes a higher interference power than the low-pass filter 200 . 2 . If the ratio of the two signal power levels exceeds a threshold value which is defined by the user, the selection switch 210 is actuated by the control device 30 such that the output of the low-pass filter 200 . 3 , and thus of the series circuit comprising the low-pass filters 200 . 2 and 200 . 3 , is produced with the lower overall cut-off frequency at the output 23 of the filter 200 . Conversely, that is to say if the adjacent channel interference is low or is negligible, the ratio of the two power levels is below the predetermined threshold value, in which case the output of the low-pass filter 200 . 2 is selected by the selection switch 210 , and is passed to the output 23 .
- the bandpass filter 200 . 4 can be designed such that it extracts precisely that part of the signal power which is most valid for a power comparison in the control device 30 .
- the complex sample values x 1(k) and x 2(k) which are calculated by the filters 200 . 4 and 200 . 2 are passed to the control device 30 .
- the control device 30 has an energy estimator 31 or 32 , respectively, each of which contains a magnitude forming device and an accumulator, in this sequence.
- the energy estimator 31 in the path which is associated with the sample values x 1(k) is followed by a multiplier 33 , which multiplies the sample values by a threshold value preset value t which can be defined by the user.
- the output of the multiplier 33 and the output of the energy estimator 32 in the other path are supplied to the two inputs of a comparator 34 .
- the comparator 34 checks which of the two inputs has the greater value, and produces a corresponding comparison signal at its output. This is supplied in the manner which has already been described as a control signal to the input 22 of the selection switch 210 .
- the magnitude forming devices and the accumulators in each case calculate the sum of the magnitudes of the real and imaginary parts of both input signals over the accumulation time period which, for example, is the duration of a burst. This results in the adaptive channel filter having a behaviour which is adapted on a burst basis.
- N is the number of inputs of the control device 30
- x i(k) are the sample values with the time index k supplied to the i-th input of the control device 30
- K is the number of sample values in a burst.
- the variables P 1 and P 2 are used as estimates of the respective signal power levels.
- the multiplier 33 multiplies the variable P 1 by the threshold value preset value t.
- the variable P 1 ⁇ t is compared with the variable P 2 in the comparator 34 .
- the adaptive channel filter which is illustrated in FIG. 1 has been implemented in GSM and EDGE receivers.
- An IIR (Infinite Impulse Response) filter with nine coefficients has been used for the bandpass filter 200 . 4 .
- the low-pass filter 200 . 2 with a high cut-off frequency has been configured as a linear FIR (Finite Impulse Response) phase filter with 33 symmetrical coefficients.
- the constriction filter 200 . 3 has been chosen as a linear FIR phase filter with 13 symmetrical coefficients.
- a channel filter with a wide pass bandwidth is chosen when the adjacent channel interference is low, and a channel filter with a narrow pass bandwidth is used when the adjacent channel interference is high, and its desired frequency response is produced by cascading the low-pass filter 200 . 2 with a high cut-off frequency and the constriction filter 200 . 3 .
- the ratio of the energy in the payload signal to the energy from the adjacent channel interference source is used as the criterion for selection of the channel filter.
- the energy from the adjacent channel interference source is multiplied by a predefined threshold t, and is compared with the energy from the adjacent channel interference source. If P 1 t is less than P 2 , the output of the low-pass filter 200 . 2 is taken, otherwise the output from the constriction filter 200 . 3 is used.
- FIG. 1 is based on the assumption that the clock rate of the signal is 40 m ⁇ f T .
- the symbol frequency is denoted f T , and is 270.833 kHz for GSM and EDGE.
- the oversampling factor is denoted m.
- m is typically equal to 2.
- FIG. 1 shows that, with oversampling using the factor m, optional signal decimation can be carried out in each case between the low-pass filters 200 . 2 and 200 . 3 and the selection switch 210 .
- the (optional) decimation is carried out by the decimators 211 .
- each decimator 211 The method of operation of each decimator 211 is to pass onto the output only one sample value from a group of m sample values, with the remaining m ⁇ 1 sample values being rejected.
- the signal decimation is required only when signal processing is carried out at the symbol clock rate downstream from the adaptive channel filter.
- the adaptive channel filter in FIG. 1 has the following disadvantage, however.
- each signal component (the payload signal or interference signal) at the input of the RF receiver also leads to a corresponding DC component (direct current, DC offset) in the quadrature-demodulated I and Q signals at the output, as is shown in FIG. 3 a .
- the DC offset can also vary within one burst.
- interference in the form of a step, a “DC step” is superimposed on the I and Q output signals, as is illustrated by way of example in FIG. 3 b .
- the object of the present invention is to specify an adaptive channel filter which allows adequately good suppression of adjacent channel interference, while maintaining an adequate bandwidth, even in the presence of a DC signal component or DC component in the quadrature-demodulated I and Q signals in the receiver, and to specify a corresponding method for adaptive channel filtering having the stated characteristics.
- an adaptive channel filter for a receiver unit for a mobile communications system comprising a channel filter with a variable pass bandwidth, which comprises a first low-pass filter on the input side, a bandpass filter which is connected in parallel with the channel filter, a means for controlling the pass bandwidth of the channel filter as a function of the adjacent channel interference, having a first input which is connected to an output of the first low-pass filter, and having a second input which is connected to an output of the bandpass filter, and a means for removal of any DC signal component or DC component in the signal path which contains the first low-pass filter.
- the means for removal of the DC signal component can be a notch filter.
- the means for removal of the DC signal component may comprise a DC signal estimator for estimation of the DC signal from an input signal, and may comprise an adder for subtraction of the estimated DC signal component from the input signal.
- the channel filter can be a digital low-pass filter in the baseband section of the receiver unit.
- the means for controlling the pass bandwidth also may take account of the noise, in addition to the adjacent channel interference.
- the channel filter with a variable pass bandwidth may comprise two or more filters which are arranged in series with one another and limit the bandwidth in steps, and may comprise a selection switch, at least some of whose inputs are connected to signal taps between the filters.
- the means for controlling the pass bandwidth may comprise in each case one energy estimator, which is connected to the two inputs and in each case calculates a variable which is representative of the power supplied to this input, and a comparison means which compares the variables calculated for different inputs with one another.
- the means for removal of the DC signal component can be arranged downstream of the first low-pass filter.
- the object can also be achieved by a method for setting the variable pass bandwidth of a channel filter, having the steps of filtering of an input signal with a bandpass filter for production of a signal which is characteristic of an interference signal in an interference signal path, and having a low-pass filter for production of a signal which is characteristic of a payload signal in a payload signal path and for removal of the DC signal component in the payload signal path, calculating two variables which are characteristic of the signal powers of the two filtered signals, and setting of the pass bandwidth of the channel filter as a function of a comparison of the calculated variables.
- the DC signal component in the payload signal path can be removed by means of a notch filter.
- the DC signal component in the payload signal path can be removed by first of all estimating it on the basis of the input signal and then subtracting it from the input signal.
- Controlling the pass bandwidth of the channel filter as a function of the adjacent channel interference results in an adaptive channel filter using which the desired signal can always be filtered optimally in different receiving and interference situations.
- the means which is provided for removal of a DC signal component or DC component from the signal component passing through the first low-pass filter also ensures that the DC signal component does not lead to any corruption of the estimation of the payload signal energy.
- the means for removal of the DC signal component may, in one embodiment, be formed by a notch filter.
- a notch filter This is a special high-pass filter with high attenuation at the frequency zero.
- the correction for the DC signal component is achieved by subtraction of an estimated DC signal value or DC value from the payload signal.
- a DC value is first of all estimated on a burst basis from the input signal. This estimated DC value is then subtracted from the input signal.
- the adaptive channel filter according to the invention is preferably a digital low-pass filter in the baseband section of the receiver unit.
- the variable pass bandwidth is achieved by the low-pass filter having a variable upper cut-off frequency.
- one advantageous embodiment variant of the adaptive channel filter is characterized in that the means for controlling the pass bandwidth also takes account of the noise, in particular its strength.
- the means for controlling the pass bandwidth is expediently designed to set the channel filter to a first, narrow pass bandwidth when the adjacent channel interference is high, and to set it to a second pass bandwidth, which is wider than the first pass bandwidth, when the adjacent channel interference and the noise are low, and to set a third pass bandwidth when the adjacent channel interference is low and the noise dominates the adjacent channel interference, which third pass bandwidth is wider than the first but narrower than the second pass bandwidth.
- the (reasonable) reduction in the pass bandwidth when the noise level is high results in the noise bandwidth of the received signal being reduced, but without causing excessively great signal distortion during the process.
- FIGS. 1 a - 1 c show signal spectra in the presence of various interference sources, specifically broadband noise, cochannel interference and adjacent channel interference;
- FIG. 2 shows a block diagram of an adaptive channel filter which is only prior art in accordance with ⁇ 3(2) of the German Patent Act;
- FIGS. 3 a, b show quadrature-demodulated I and Q signals with a DC component (a) and with a DC step within a burst (b);
- FIG. 4 shows a block diagram of one exemplary embodiment of an adaptive channel filter according to the invention.
- FIG. 5 shows an exemplary embodiment of a DC correction device.
- FIG. 4 In the block diagram shown in FIG. 4 of one exemplary embodiment of an adaptive channel filter according to the invention, the reference symbols of the circuit components which are functionally equivalent and which are the same as those used for the adaptive channel filter shown in FIG. 1 have been retained. Furthermore, a DC correction device 37 has been inserted into the payload signal path upstream of the energy estimator 32 , with the object of removing the DC signal component or DC component from this signal component. In the exemplary embodiment, the DC correction device 37 is a part of the control device 30 . However, this is not of major technical significance for the present invention. It is equally well possible to provide for the control device 30 to be transferred essentially unchanged from the cited prior art and for the additional DC correction device 37 to be arranged upstream of the control device 30 in the payload signal path. It is likewise theoretically feasible for the DC correction device 37 to be arranged in the payload signal path upstream of the first low-pass filter 200 . 2 , in order to remove the DC component even before the low-pass filtering.
- the DC correction device 37 may be formed by a notch filter.
- this is a special high-pass filter which has high attenuation at the frequency 0 .
- the notch filter preferably has as narrow a stop band as possible in order that the spectrum of the desired signal is filtered out as little as possible.
- this results in the step-function response having a longer decay time which, in the event of interference resulting from a DC step, once again leads to increased corruption of the energy estimate for the payload signal.
- An optimum notch filter represents a compromise between these mutually contradictory requirements.
- a low-order FIR or IIR filter is used for a cost-effective solution that takes account of these requirements.
- H FIR1 ( z ) 1 ⁇ z ⁇ 1 (2)
- H FIR2 ( z ) 1 ⁇ 2 z ⁇ 1 +z ⁇ 2 (3)
- both filters have very high attenuation at the frequency 0 , and a step-function response with a very short decay time. Both filters thus provide good DC suppression and DC-step suppression.
- the broad stop band of the two filters has the disadvantage, however, that a relatively high proportion of the payload spectrum is also filtered out in the process.
- the parameter a allows the width of the stop band to be interchanged with the decay time period of the step-function response.
- the DC correction device 37 is implemented by estimation of the DC value of the signal X 2 in the payload signal 2 , followed by subtraction of the estimate of the DC value from the signal. This is illustrated in FIG. 5 .
- the DC correction device 37 contains a DC estimator 37 . 1 and an adder 37 . 2 .
- a DC value is estimated from the input signal X 2 on a burst basis in the DC estimator 37 . 1 , and the estimated DC value is subtracted from the input signal X 2 in the adder 37 . 2 .
- the second embodiment has the disadvantage that it is more complex, since the DC estimate has the required accuracy only with relatively large M ⁇ N, and that residual interference always remains in the event of a DC step, whose extent depends on the magnitude of the DC step.
Abstract
A channel filter (200) with a variable pass bandwidth has a first low-pass filter (200.2) on the input side and is driven by a means (30) for controlling the pass bandwidth as a function of the adjacent channel interference. A first input of the control means (30) is connected to the first low-pass filter (200.2), and a second input is connected to a bandpass filter (200.4) which is connected in parallel with the channel filter (200). The signal path which contains the low-pass filter (200.2) contains a means (37) for removing a DC signal component or DC component.
Description
- This application is a continuation of copending International Application No. PCT/DE03/03657 filed Nov. 5, 2003 which designates the United States, and claims priority to German application no. 102 53 671.6 filed Nov. 18, 2002.
- The invention relates to an adaptive channel filter for a receiver unit for a mobile communications system, and to a method for setting a variable pass bandwidth for a channel filter.
- In many mobile radio systems such as GSM (Global System for Mobile Communications) and its further development EDGE (Enhanced Data Services for GSM Evolution), the overall transmission bandwidth is subdivided into a large number of narrowband subscriber frequency bands (traffic channels). The bandwidth of a subscriber frequency band in GSM and EDGE systems is 200 kHz.
FIGS. 1 a to 1 c show three important interference influences during reception of a narrowband payload signal such as this. -
FIGS. 1 a to 1 c respectively show the spectral profile of a received signal 1 in the presence of interference 2.1, 2.2 and 2.3.FIG. 1 a shows the narrowband received signal 1 in the presence of noise, which represents broadband interference 2.1.FIGS. 1 b and 1 c show two cases of multiple access interference, of multiple access interference (MAI), specifically cochannel interference (FIG. 1 b) and adjacent channel interference (FIG. 1 c). While the interference 2.2 in the case of cochannel interference occurs in the same subscriber frequency band as the desired signal 1, and is caused, for example, by an active subscriber in another cell in the network, the interference 2.3 in the case of adjacent channel interference occurs in one of the two adjacent subscriber frequency bands. - The influence of adjacent channel interference is influenced by the channel width of the subscriber frequency bands and the symbol frequency used in the system. In order to achieve a high system subscriber capacity and a high data rate, it is desirable to use narrow channel widths and high symbol frequencies. On the other hand, this results in an increase in the adjacent channel interference which, however, must not exceed a specific limit.
- In the case of GSM and EDGE, the symbol frequency is 270.833 kHz and the channel width, as already mentioned, is 200 kHz. This means that the desired signal 1 and the interference 2.3 caused by adjacent channel interference spectrally overlap one another, as is shown in
FIG. 1 c. It is not possible to completely suppress the adjacent channel interference without constraining the spectrum of the desired signal 1. - In conventional receivers for mobile communications systems, the channel filter which is used to filter out the desired subscriber frequency band has a fixed, predetermined bandwidth. The chosen bandwidth represents a compromise between the mutually contradictory aims of utilization of the subscriber frequency band as well as possible for signal detection and suppression of adjacent channel interference as well as possible. This compromise is necessarily sub-optimal in many receiving situations.
- The German Patent Application DE 101 52 628.8, which only represents the prior art in accordance with §3(2) of the German Patent Act with reference to the present application, has proposed an adaptive channel filter for mobile radio receivers and a method for adaptive channel filtering, in which the pass bandwidth of the channel filter is set as a function of the strength of the adjacent channel interference. This results in an adaptive channel filter by means of which the payload signal can always be optimally filtered in different receiving and interference situations.
-
FIG. 2 shows an embodiment which was described in this older application. The adaptive channel filter has afilter 200 with a variable pass bandwidth, and has acontrol device 30 for setting the pass bandwidth of thefilter 200. The adaptive channel filter is preferably a digital low-pass filter, which is located in the baseband processing section of a mobile radio receiver. Thesignal 40 which is supplied to the adaptive channel filter has, for example, already been frequency-selected and/or subscriber-selected by suitable down-mixing of the frequency of the desired subscriber frequency band to baseband, but has not yet or has not been adequately bandwidth-limited. - The
filter 200 which is shown with the dashed boundary and has a variable pass bandwidth has a first low-pass filter 200.2 which has a cut-off frequency above the desired signal. Thefilter 200 also has a series arrangement of the low-pass filter 200.2 and of a downstream constriction or limiting filter 200.3. The constriction filter 200.3 has the function of somewhat reducing the spectral pass band of the low-pass filter 200.2, that is to say the series arrangement of the filters 200.2 and 200.3 behaves like a single low-pass filter with a cut-off frequency which is lower than the cut-off frequency of the low-pass filter 200.2. - The outputs of the low-pass filters 200.2 and 200.3 are passed to the inputs of a
selection switch 210. Theselection switch 210 has acontrol input 22, via which one of the supplied filter signals can be selected and can be switched with a variable pass bandwidth to anoutput 23 of thefilter 200. - A bandpass filter 200.4, to which the
signal 40 is likewise supplied, is connected in parallel with thechannel filter 200 with the variable pass bandwidth. The bandpass filter selects the spectral component from the adjacent channel interference source from thesignal 40. The principle of operation of the adaptive channel filter shown inFIG. 2 is based on a power comparison between the signals x, and x2, which are filtered by the bandpass filter 200.4 and the low-pass filter 200.2 and are supplied to thecontrol device 30. When strong adjacent channel interference is present, the power of the signal which is emitted from the low-pass filter 200.2 is relatively small in comparison to the power of the signal which is filtered by the bandpass filter 200.4, since the bandpass filter 200.4 passes a higher interference power than the low-pass filter 200.2. If the ratio of the two signal power levels exceeds a threshold value which is defined by the user, theselection switch 210 is actuated by thecontrol device 30 such that the output of the low-pass filter 200.3, and thus of the series circuit comprising the low-pass filters 200.2 and 200.3, is produced with the lower overall cut-off frequency at theoutput 23 of thefilter 200. Conversely, that is to say if the adjacent channel interference is low or is negligible, the ratio of the two power levels is below the predetermined threshold value, in which case the output of the low-pass filter 200.2 is selected by theselection switch 210, and is passed to theoutput 23. The bandpass filter 200.4 can be designed such that it extracts precisely that part of the signal power which is most valid for a power comparison in thecontrol device 30. - The complex sample values x1(k) and x2(k) which are calculated by the filters 200.4 and 200.2 are passed to the
control device 30. In each signal path, thecontrol device 30 has anenergy estimator energy estimator 31 in the path which is associated with the sample values x1(k) is followed by amultiplier 33, which multiplies the sample values by a threshold value preset value t which can be defined by the user. The output of themultiplier 33 and the output of theenergy estimator 32 in the other path are supplied to the two inputs of acomparator 34. Thecomparator 34 checks which of the two inputs has the greater value, and produces a corresponding comparison signal at its output. This is supplied in the manner which has already been described as a control signal to theinput 22 of theselection switch 210. - In the
energy estimators
where N is the number of inputs of thecontrol device 30, xi(k) are the sample values with the time index k supplied to the i-th input of thecontrol device 30, and K is the number of sample values in a burst. - Instead of forming the sum of the magnitudes of the real and imaginary parts on the input signal, it is also possible to add the squares of the magnitudes.
- The variables P1 and P2 are used as estimates of the respective signal power levels. The
multiplier 33 multiplies the variable P1 by the threshold value preset value t. The variable P1×t is compared with the variable P2 in thecomparator 34. - The adaptive channel filter which is illustrated in
FIG. 1 has been implemented in GSM and EDGE receivers. An IIR (Infinite Impulse Response) filter with nine coefficients has been used for the bandpass filter 200.4. The low-pass filter 200.2 with a high cut-off frequency has been configured as a linear FIR (Finite Impulse Response) phase filter with 33 symmetrical coefficients. The constriction filter 200.3 has been chosen as a linear FIR phase filter with 13 symmetrical coefficients. The oversampling used in the receiver was m=2. - Thus, overall, a channel filter with a wide pass bandwidth is chosen when the adjacent channel interference is low, and a channel filter with a narrow pass bandwidth is used when the adjacent channel interference is high, and its desired frequency response is produced by cascading the low-pass filter 200.2 with a high cut-off frequency and the constriction filter 200.3. The ratio of the energy in the payload signal to the energy from the adjacent channel interference source is used as the criterion for selection of the channel filter. In this case, the energy from the adjacent channel interference source is multiplied by a predefined threshold t, and is compared with the energy from the adjacent channel interference source. If P1t is less than P2, the output of the low-pass filter 200.2 is taken, otherwise the output from the constriction filter 200.3 is used.
-
FIG. 1 is based on the assumption that the clock rate of the signal is 40 m×fT. The symbol frequency is denoted fT, and is 270.833 kHz for GSM and EDGE. The oversampling factor is denoted m. For a channel filter in baseband, m is typically equal to 2.FIG. 1 shows that, with oversampling using the factor m, optional signal decimation can be carried out in each case between the low-pass filters 200.2 and 200.3 and theselection switch 210. The (optional) decimation is carried out by thedecimators 211. The method of operation of each decimator 211 is to pass onto the output only one sample value from a group of m sample values, with the remaining m−1 sample values being rejected. The signal decimation is required only when signal processing is carried out at the symbol clock rate downstream from the adaptive channel filter. - The adaptive channel filter in
FIG. 1 has the following disadvantage, however. - Owning to non-linearities in the RF receiver, each signal component (the payload signal or interference signal) at the input of the RF receiver also leads to a corresponding DC component (direct current, DC offset) in the quadrature-demodulated I and Q signals at the output, as is shown in
FIG. 3 a. In certain receiving situations, the DC offset can also vary within one burst. In this case, interference in the form of a step, a “DC step” is superimposed on the I and Q output signals, as is illustrated by way of example inFIG. 3 b. The superimposition of a DC offset or DC step in the I and Q signals corrupts the estimate of the payload signal energy, while the DC interference in the energy estimate for the adjacent channel interference is largely suppressed owing to the bandpass filtering. Residual interference admittedly remains in the transition area of the DC step even after the bandpass filtering, but this lasts for a negligible time in comparison to the burst duration for energy estimation. The corruption of the energy measurement in one of the two paths leads to an increased error rate in the detection of the adjacent channel interference source, and thus to a deterioration in the reception quality. - In consequence, the object of the present invention is to specify an adaptive channel filter which allows adequately good suppression of adjacent channel interference, while maintaining an adequate bandwidth, even in the presence of a DC signal component or DC component in the quadrature-demodulated I and Q signals in the receiver, and to specify a corresponding method for adaptive channel filtering having the stated characteristics.
- This object can be achieved by an adaptive channel filter for a receiver unit for a mobile communications system, comprising a channel filter with a variable pass bandwidth, which comprises a first low-pass filter on the input side, a bandpass filter which is connected in parallel with the channel filter, a means for controlling the pass bandwidth of the channel filter as a function of the adjacent channel interference, having a first input which is connected to an output of the first low-pass filter, and having a second input which is connected to an output of the bandpass filter, and a means for removal of any DC signal component or DC component in the signal path which contains the first low-pass filter.
- The means for removal of the DC signal component can be a notch filter. The means for removal of the DC signal component may comprise a DC signal estimator for estimation of the DC signal from an input signal, and may comprise an adder for subtraction of the estimated DC signal component from the input signal. The channel filter can be a digital low-pass filter in the baseband section of the receiver unit. The means for controlling the pass bandwidth also may take account of the noise, in addition to the adjacent channel interference. The channel filter with a variable pass bandwidth may comprise two or more filters which are arranged in series with one another and limit the bandwidth in steps, and may comprise a selection switch, at least some of whose inputs are connected to signal taps between the filters. The means for controlling the pass bandwidth may comprise in each case one energy estimator, which is connected to the two inputs and in each case calculates a variable which is representative of the power supplied to this input, and a comparison means which compares the variables calculated for different inputs with one another. The means for removal of the DC signal component can be arranged downstream of the first low-pass filter.
- The object can also be achieved by a method for setting the variable pass bandwidth of a channel filter, having the steps of filtering of an input signal with a bandpass filter for production of a signal which is characteristic of an interference signal in an interference signal path, and having a low-pass filter for production of a signal which is characteristic of a payload signal in a payload signal path and for removal of the DC signal component in the payload signal path, calculating two variables which are characteristic of the signal powers of the two filtered signals, and setting of the pass bandwidth of the channel filter as a function of a comparison of the calculated variables.
- The DC signal component in the payload signal path can be removed by means of a notch filter. The DC signal component in the payload signal path can be removed by first of all estimating it on the basis of the input signal and then subtracting it from the input signal.
- Controlling the pass bandwidth of the channel filter as a function of the adjacent channel interference, that is to say in general as a function of a variable which is influenced by the strength of the adjacent channel interference, results in an adaptive channel filter using which the desired signal can always be filtered optimally in different receiving and interference situations. The means which is provided for removal of a DC signal component or DC component from the signal component passing through the first low-pass filter also ensures that the DC signal component does not lead to any corruption of the estimation of the payload signal energy.
- The means for removal of the DC signal component may, in one embodiment, be formed by a notch filter. This is a special high-pass filter with high attenuation at the frequency zero. In order to achieve optimum detection of the adjacent channel interference source, it is desirable to use a notch filter with as narrow a stop band as possible, in order that the spectrum of the desired signal is filtered out as little as possible.
- In another embodiment, the correction for the DC signal component is achieved by subtraction of an estimated DC signal value or DC value from the payload signal. In this case, a DC value is first of all estimated on a burst basis from the input signal. This estimated DC value is then subtracted from the input signal.
- The adaptive channel filter according to the invention is preferably a digital low-pass filter in the baseband section of the receiver unit. In this case, the variable pass bandwidth is achieved by the low-pass filter having a variable upper cut-off frequency.
- In addition to the (absolutely essential) relationship between the control of the pass bandwidth of the channel filter and the adjacent channel interference, it is also possible to take into account further influencing variables in the control of the pass bandwidth of the channel filter. In this context, one advantageous embodiment variant of the adaptive channel filter is characterized in that the means for controlling the pass bandwidth also takes account of the noise, in particular its strength.
- In this case, the means for controlling the pass bandwidth is expediently designed to set the channel filter to a first, narrow pass bandwidth when the adjacent channel interference is high, and to set it to a second pass bandwidth, which is wider than the first pass bandwidth, when the adjacent channel interference and the noise are low, and to set a third pass bandwidth when the adjacent channel interference is low and the noise dominates the adjacent channel interference, which third pass bandwidth is wider than the first but narrower than the second pass bandwidth. The (reasonable) reduction in the pass bandwidth when the noise level is high results in the noise bandwidth of the received signal being reduced, but without causing excessively great signal distortion during the process.
- Exemplary embodiments of an adaptive channel filter will be explained in more detail in the following text with reference to the further drawings, in which:
-
FIGS. 1 a-1 c show signal spectra in the presence of various interference sources, specifically broadband noise, cochannel interference and adjacent channel interference; -
FIG. 2 shows a block diagram of an adaptive channel filter which is only prior art in accordance with §3(2) of the German Patent Act; -
FIGS. 3 a, b show quadrature-demodulated I and Q signals with a DC component (a) and with a DC step within a burst (b); -
FIG. 4 shows a block diagram of one exemplary embodiment of an adaptive channel filter according to the invention; and -
FIG. 5 shows an exemplary embodiment of a DC correction device. - In the block diagram shown in
FIG. 4 of one exemplary embodiment of an adaptive channel filter according to the invention, the reference symbols of the circuit components which are functionally equivalent and which are the same as those used for the adaptive channel filter shown inFIG. 1 have been retained. Furthermore, aDC correction device 37 has been inserted into the payload signal path upstream of theenergy estimator 32, with the object of removing the DC signal component or DC component from this signal component. In the exemplary embodiment, theDC correction device 37 is a part of thecontrol device 30. However, this is not of major technical significance for the present invention. It is equally well possible to provide for thecontrol device 30 to be transferred essentially unchanged from the cited prior art and for the additionalDC correction device 37 to be arranged upstream of thecontrol device 30 in the payload signal path. It is likewise theoretically feasible for theDC correction device 37 to be arranged in the payload signal path upstream of the first low-pass filter 200.2, in order to remove the DC component even before the low-pass filtering. - In a first embodiment, the
DC correction device 37 may be formed by a notch filter. In this case, this is a special high-pass filter which has high attenuation at the frequency 0. For optimum detection of the adjacent channel interference source, the notch filter preferably has as narrow a stop band as possible in order that the spectrum of the desired signal is filtered out as little as possible. On the other hand, this results in the step-function response having a longer decay time which, in the event of interference resulting from a DC step, once again leads to increased corruption of the energy estimate for the payload signal. An optimum notch filter represents a compromise between these mutually contradictory requirements. A low-order FIR or IIR filter is used for a cost-effective solution that takes account of these requirements. - The following equations indicate the transfer functions of two simple notch filters in the form of first and second order FIR filters.
H FIR1(z)=1−z −1 (2)
H FIR2(z)=1−2z −1 +z −2 (3) - As is known, both filters have very high attenuation at the frequency 0, and a step-function response with a very short decay time. Both filters thus provide good DC suppression and DC-step suppression. The broad stop band of the two filters has the disadvantage, however, that a relatively high proportion of the payload spectrum is also filtered out in the process.
- An even better compromise can be achieved here by means of recursive filters. Even a first-order IIR filter can be used to produce a notch filter with a very narrow stop band. The following equation describes the transfer function of an IR notch filter such as this.
- The parameter a allows the width of the stop band to be interchanged with the decay time period of the step-function response. When a=0, the IIR filter merges into the FIR filter described by
equation 2 above. Simulations have shown that a good compromise is achieved with a=0.5. - In a second embodiment, the
DC correction device 37 is implemented by estimation of the DC value of the signal X2 in thepayload signal 2, followed by subtraction of the estimate of the DC value from the signal. This is illustrated inFIG. 5 . In consequence, theDC correction device 37 contains a DC estimator 37.1 and an adder 37.2. A DC value is estimated from the input signal X2 on a burst basis in the DC estimator 37.1, and the estimated DC value is subtracted from the input signal X2 in the adder 37.2. The simplest method for estimation of the DC value is to form the average value of the input signal over a specific time period M:
where x2 is the complex input signal and xDC is the estimated complex DC value. The DC correction can now be written as follows:
x 2*(i)=x s(i)−x DC i=1, 2, . . . , N (6) -
- where N represents the number of data samples per burst.
- In contrast to the notch filter in the first embodiment, the second embodiment has the disadvantage that it is more complex, since the DC estimate has the required accuracy only with relatively large M<N, and that residual interference always remains in the event of a DC step, whose extent depends on the magnitude of the DC step.
Claims (19)
1. An adaptive channel filter for a receiver unit for a mobile communications system, comprising
a channel filter with a variable pass bandwidth, which comprises a first low-pass filter on the input side,
a bandpass filter which is connected in parallel with the channel filter,
a means for controlling the pass bandwidth of the channel filter as a function of the adjacent channel interference, having a first input which is connected to an output of the first low-pass filter, and having a second input which is connected to an output of the bandpass filter, and
a means for removal of any DC signal component or DC component in the signal path which contains the first low-pass filter.
2. The adaptive channel filter as claimed in claim 1 , wherein
the means for removal of the DC signal component is a notch filter.
3. The adaptive channel filter as claimed in claim 1 , wherein
the means for removal of the DC signal component comprises a DC signal estimator for estimation of the DC signal from an input signal, and comprises an adder for subtraction of the estimated DC signal component from the input signal.
4. The adaptive channel filter as claimed in claim 1 , wherein
the channel filter is a digital low-pass filter in the baseband section of the receiver unit.
5. The adaptive channel filter as claimed in claim 1 , wherein
the means for controlling the pass bandwidth also takes account of the noise, in addition to the adjacent channel interference.
6. The adaptive channel filter as claimed in claim 1 , wherein
the channel filter with a variable pass bandwidth comprises two or more filters which are arranged in series with one another and limit the bandwidth in steps, and comprises a selection switch, at least some of whose inputs are connected to signal taps between the filters.
7. The adaptive channel filter as claimed in claim 1 , wherein
the means for controlling the pass bandwidth comprises:
in each case one energy estimator, which is connected to the two inputs and in each case calculates a variable which is representative of the power supplied to this input, and
a comparison means which compares the variables calculated for different inputs with one another.
8. The adaptive channel filter as claimed in claim 1 , wherein
the means for removal of the DC signal component is arranged downstream of the first low-pass filter.
9. A method for setting the variable pass bandwidth of a channel filter, having the following steps:
filtering of an input signal with a bandpass filter for production of a signal which is characteristic of an interference signal in an interference signal path, and having a low-pass filter for production of a signal which is characteristic of a payload signal in a payload signal path and for removal of the DC signal component in the payload signal path,
calculating two variables which are characteristic of the signal powers of the two filtered signals, and
setting of the pass bandwidth of the channel filter as a function of a comparison of the calculated variables.
10. The method as claimed in claim 9 , wherein
the DC signal component in the payload signal path is removed by means of a notch filter.
11. The method as claimed in claim 9 , wherein
the DC signal component in the payload signal path is removed by first of all estimating it on the basis of the input signal and then subtracting it from the input signal.
12. An adaptive channel filter for a receiver unit for a mobile communications system, comprising
a channel filter with a variable pass bandwidth, which comprises a first low-pass filter on the input side,
a bandpass filter which is connected in parallel with the channel filter,
a pass bandwidth controller which controls the pass bandwidth as a function of the adjacent channel interference, comprising a first input connected to an output of the first low-pass filter, and a second input connected to an output of the bandpass filter, and
a DC component removal unit arranged in the signal path which contains the first low-pass filter.
13. The adaptive channel filter as claimed in claim 12 , wherein
the DC component removal unit is a notch filter.
14. The adaptive channel filter as claimed in claim 12 , wherein
the DC component removal unit comprises a DC signal estimator for estimation of the DC signal from an input signal, and comprises an adder for subtraction of the estimated DC signal component from the input signal.
15. The adaptive channel filter as claimed in claim 12 , wherein
the channel filter is a digital low-pass filter in the baseband section of the receiver unit.
16. The adaptive channel filter as claimed in claim 12 , wherein
the pass bandwidth controller also takes account of the noise, in addition to the adjacent channel interference.
17. The adaptive channel filter as claimed in claim 12 , wherein
the channel filter with a variable pass bandwidth comprises two or more filters which are arranged in series with one another and limit the bandwidth in steps, and comprises a selection switch, at least some of whose inputs are connected to signal taps between the filters.
18. The adaptive channel filter as claimed in claim 12 , wherein
the pass bandwidth controller comprises:
in each case one energy estimator, which is connected to the two inputs and in each case calculates a variable which is representative of the power supplied to this input, and
a comparison means which compares the variables calculated for different inputs with one another.
19. The adaptive channel filter as claimed in claim 12 , wherein
the DC component removal unit is arranged downstream of the first low-pass filter.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/134,054 US9106298B2 (en) | 2002-11-18 | 2008-06-05 | Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DEDE10253671.6 | 2002-11-18 | ||
DE2002153671 DE10253671B3 (en) | 2002-11-18 | 2002-11-18 | Suppression of adjacent channel interference through adaptive channel filtering in mobile radio receivers |
PCT/DE2003/003657 WO2004047322A1 (en) | 2002-11-18 | 2003-11-05 | Neighbouring channel interference cancellation by adaptive channel filter in mobile telephone receivers |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/DE2003/003657 Continuation WO2004047322A1 (en) | 2002-11-18 | 2003-11-05 | Neighbouring channel interference cancellation by adaptive channel filter in mobile telephone receivers |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/134,054 Continuation US9106298B2 (en) | 2002-11-18 | 2008-06-05 | Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers |
Publications (1)
Publication Number | Publication Date |
---|---|
US20050265498A1 true US20050265498A1 (en) | 2005-12-01 |
Family
ID=32318519
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/131,524 Abandoned US20050265498A1 (en) | 2002-11-18 | 2005-05-18 | Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers |
US12/134,054 Expired - Fee Related US9106298B2 (en) | 2002-11-18 | 2008-06-05 | Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/134,054 Expired - Fee Related US9106298B2 (en) | 2002-11-18 | 2008-06-05 | Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers |
Country Status (5)
Country | Link |
---|---|
US (2) | US20050265498A1 (en) |
CN (1) | CN1714514B (en) |
AU (1) | AU2003292951A1 (en) |
DE (2) | DE10253671B3 (en) |
WO (1) | WO2004047322A1 (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060269021A1 (en) * | 2005-05-26 | 2006-11-30 | Brima Ibrahim | Method and system for FM interference detection and mitigation |
US20070242599A1 (en) * | 2006-04-14 | 2007-10-18 | Freescale Semiconductor Inc | Mitigation of DC distortion in OFDM receivers |
US20080205907A1 (en) * | 2007-02-28 | 2008-08-28 | Gil Su Kim | Optical receiver, optical audio apparatus, optical communication apparatus and optical reception method |
US20090197554A1 (en) * | 2008-02-04 | 2009-08-06 | Ying Shi | System And Method For Station Detection And Seek In A Radio Receiver |
US20100317299A1 (en) * | 2007-03-02 | 2010-12-16 | Skyworks Solutions, Inc. | System and method for adjacent channel power detection and dynamic bandwidth filter control |
US8275323B1 (en) * | 2006-07-14 | 2012-09-25 | Marvell International Ltd. | Clear-channel assessment in 40 MHz wireless receivers |
US8982849B1 (en) | 2011-12-15 | 2015-03-17 | Marvell International Ltd. | Coexistence mechanism for 802.11AC compliant 80 MHz WLAN receivers |
US9088328B2 (en) | 2011-05-16 | 2015-07-21 | Intel Mobile Communications GmbH | Receiver of a mobile communication device |
US20150222459A1 (en) * | 2014-02-04 | 2015-08-06 | Qualcomm Incorporated | Methods and devices for dynamic filter configuration in the presence of adjacent channel interference (aci) |
CN104967425A (en) * | 2015-07-21 | 2015-10-07 | 海宁市丰达电子有限公司 | Bipolar low-pass filter |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7460831B2 (en) | 2002-06-20 | 2008-12-02 | Dekolink Wireless Ltd. | System and method for excluding narrow band noise from a communication channel |
US20070064156A1 (en) * | 2005-09-19 | 2007-03-22 | Mediatek Inc. | System and method for removing co-channel interference |
DE102006007025A1 (en) | 2006-02-15 | 2007-10-04 | Infineon Technologies Ag | Device for detecting a signal type |
US8098720B2 (en) | 2006-10-06 | 2012-01-17 | Stmicroelectronics S.R.L. | Method and apparatus for suppressing adjacent channel interference and multipath propagation signals and radio receiver using said apparatus |
EP1909400B1 (en) | 2006-10-06 | 2010-12-08 | STMicroelectronics Srl | Detection and suppression of adjacent channel interference in a received signal through the use of the Teager-Kaiser function |
KR101590340B1 (en) | 2009-10-09 | 2016-02-01 | 삼성전자주식회사 | Apparatus and method for transmitting and receiving message in mobile communication terminal with touch screen |
CN102185586B (en) * | 2011-02-25 | 2014-04-02 | 华为技术有限公司 | Scene-based filtering method and self-adapting filter |
CN102655417B (en) * | 2012-04-20 | 2015-01-21 | 华为技术有限公司 | Wireless local area network (WLAN) equipment and method for suppressing interference of wireless local area network equipment |
CN103685095B (en) * | 2013-12-18 | 2017-01-04 | 北京创毅视讯科技有限公司 | A kind of method and apparatus realizing monkey chatter suppression |
CN106301373B (en) * | 2016-08-26 | 2018-07-27 | 中国科学院地质与地球物理研究所 | A kind of number multimode multi-frequency section filter group and electromagnetic method receiver |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5422909A (en) * | 1993-11-30 | 1995-06-06 | Motorola, Inc. | Method and apparatus for multi-phase component downconversion |
US6606359B1 (en) * | 2000-07-26 | 2003-08-12 | Motorola, Inc | Area-optimum rapid acquisition cellular multi-protocol digital DC offset correction scheme |
US7110478B2 (en) * | 2002-04-09 | 2006-09-19 | Spreadtrum Communications Corporation | Phase difference based frequency correction channel detector for wireless communication system |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5287556A (en) | 1990-09-28 | 1994-02-15 | Motorola, Inc. | Interference reduction using an adaptive receiver filter, signal strength, and BER sensing |
DE4319457C2 (en) * | 1993-06-11 | 1997-09-04 | Blaupunkt Werke Gmbh | Circuit arrangement for adjacent channel detection and suppression in an FM radio receiver |
JP2003502899A (en) * | 1999-06-16 | 2003-01-21 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | FM receiver with bandwidth control means |
FR2810815B1 (en) * | 2000-06-26 | 2002-09-13 | Thomson Multimedia Sa | SELF-ADAPTIVE FREQUENCY BAND PASS FILTERING DEVICE IN A MICROWAVE SIGNAL TRANSCEIVER |
GB0026213D0 (en) * | 2000-10-25 | 2000-12-13 | Mitel Semiconductor Ltd | Modem tuner |
KR100541895B1 (en) * | 2001-09-21 | 2006-01-16 | 가부시끼가이샤 도시바 | High frequency filter |
US20030081706A1 (en) * | 2001-10-25 | 2003-05-01 | Ciccarelli Steven C. | Noise reduction filtering in a wireless communication system |
DE10152628A1 (en) * | 2001-10-25 | 2003-05-15 | Infineon Technologies Ag | Adaptive channel filter for mobile radio receivers and method for adaptive channel filtering |
US6993311B2 (en) * | 2002-02-20 | 2006-01-31 | Freescale Semiconductor, Inc. | Radio receiver having an adaptive equalizer and method therefor |
JP3851836B2 (en) * | 2002-04-19 | 2006-11-29 | 富士通株式会社 | Wavelength multiplexing transmission system and wavelength multiplexing transmission apparatus |
EP1522151B1 (en) * | 2002-06-07 | 2016-03-23 | InterDigital Technology Corporation | System and method for a direct conversion multi-carrier processor |
US20040190661A1 (en) * | 2003-03-26 | 2004-09-30 | Quellan, Inc. | Method and system for equalizing communication signals |
-
2002
- 2002-11-18 DE DE2002153671 patent/DE10253671B3/en not_active Expired - Fee Related
-
2003
- 2003-11-05 AU AU2003292951A patent/AU2003292951A1/en not_active Abandoned
- 2003-11-05 DE DE10394065T patent/DE10394065D2/en not_active Expired - Fee Related
- 2003-11-05 WO PCT/DE2003/003657 patent/WO2004047322A1/en not_active Application Discontinuation
- 2003-11-05 CN CN2003801035493A patent/CN1714514B/en not_active Expired - Fee Related
-
2005
- 2005-05-18 US US11/131,524 patent/US20050265498A1/en not_active Abandoned
-
2008
- 2008-06-05 US US12/134,054 patent/US9106298B2/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5422909A (en) * | 1993-11-30 | 1995-06-06 | Motorola, Inc. | Method and apparatus for multi-phase component downconversion |
US6606359B1 (en) * | 2000-07-26 | 2003-08-12 | Motorola, Inc | Area-optimum rapid acquisition cellular multi-protocol digital DC offset correction scheme |
US7110478B2 (en) * | 2002-04-09 | 2006-09-19 | Spreadtrum Communications Corporation | Phase difference based frequency correction channel detector for wireless communication system |
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060269021A1 (en) * | 2005-05-26 | 2006-11-30 | Brima Ibrahim | Method and system for FM interference detection and mitigation |
US8811468B2 (en) * | 2005-05-26 | 2014-08-19 | Broadcom Corporation | Method and system for FM interference detection and mitigation |
US7675983B2 (en) * | 2006-04-14 | 2010-03-09 | Freescale Semiconductor, Inc. | Mitigation of DC distortion in OFDM receivers |
US20070242599A1 (en) * | 2006-04-14 | 2007-10-18 | Freescale Semiconductor Inc | Mitigation of DC distortion in OFDM receivers |
US8838038B1 (en) | 2006-07-14 | 2014-09-16 | Marvell International Ltd. | Clear-channel assessment in 40 MHz wireless receivers |
US8275323B1 (en) * | 2006-07-14 | 2012-09-25 | Marvell International Ltd. | Clear-channel assessment in 40 MHz wireless receivers |
US20080205907A1 (en) * | 2007-02-28 | 2008-08-28 | Gil Su Kim | Optical receiver, optical audio apparatus, optical communication apparatus and optical reception method |
US8023835B2 (en) * | 2007-02-28 | 2011-09-20 | Korea University Industry and Academy Cooperation Foundation | Optical receiver, optical audio apparatus, optical communication apparatus and optical reception method |
US20100317299A1 (en) * | 2007-03-02 | 2010-12-16 | Skyworks Solutions, Inc. | System and method for adjacent channel power detection and dynamic bandwidth filter control |
US8111793B2 (en) * | 2007-03-02 | 2012-02-07 | Ying Shi | System and method for adjacent channel power detection and dynamic bandwidth filter control |
US8559574B2 (en) * | 2007-03-02 | 2013-10-15 | Intel Corporation | System and method for adjacent channel power detection and dynamic bandwidth filter control |
US20090197554A1 (en) * | 2008-02-04 | 2009-08-06 | Ying Shi | System And Method For Station Detection And Seek In A Radio Receiver |
US7920839B2 (en) * | 2008-02-04 | 2011-04-05 | Skyworks Solutions, Inc. | System and method for station detection and seek in a radio receiver |
US9088328B2 (en) | 2011-05-16 | 2015-07-21 | Intel Mobile Communications GmbH | Receiver of a mobile communication device |
US8982849B1 (en) | 2011-12-15 | 2015-03-17 | Marvell International Ltd. | Coexistence mechanism for 802.11AC compliant 80 MHz WLAN receivers |
US20150222459A1 (en) * | 2014-02-04 | 2015-08-06 | Qualcomm Incorporated | Methods and devices for dynamic filter configuration in the presence of adjacent channel interference (aci) |
WO2015119805A1 (en) * | 2014-02-04 | 2015-08-13 | Qualcomm Incorporated | Methods and devices for dynamic filter configuration in the presence of adjacent channel interference (aci) |
CN104967425A (en) * | 2015-07-21 | 2015-10-07 | 海宁市丰达电子有限公司 | Bipolar low-pass filter |
Also Published As
Publication number | Publication date |
---|---|
DE10394065D2 (en) | 2005-10-06 |
AU2003292951A1 (en) | 2004-06-15 |
WO2004047322A1 (en) | 2004-06-03 |
CN1714514A (en) | 2005-12-28 |
US20080242256A1 (en) | 2008-10-02 |
CN1714514B (en) | 2010-06-16 |
DE10253671B3 (en) | 2004-08-19 |
US9106298B2 (en) | 2015-08-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9106298B2 (en) | Suppression of adjacent channel interference by adaptive channel filtering in mobile radio receivers | |
US7324616B2 (en) | Low cost and high performance narrowband interference cancellation system | |
EP0864206B1 (en) | Method and non-linear filter for reducing co-channel interference | |
EP1786111B1 (en) | Filter and method for suppressing effects of adjacent-channel interference | |
JP2002026775A (en) | Method and system for causing decrease of frequency offset in wireless receiver | |
US7864879B2 (en) | System having a signal processor for detection of a signal type | |
MX2008001657A (en) | System and method for filtering harmonics of a power amplifier. | |
US7039093B2 (en) | Arrangement for adaptive baseband filter selection | |
US6959170B2 (en) | Communications receivers and methods therefor | |
US6768441B2 (en) | Methods of receiving communications signals including a plurality of digital filters having different bandwidths and related receivers | |
WO2007068146A1 (en) | Method and apparatus for eliminating narrow band interference by means of windowing processing in spread spectrum system | |
US8743910B2 (en) | Method and apparatus for selecting a channel filter for a communication system | |
US7991047B2 (en) | Method for designing a digital reception filter and corresponding receiving device | |
EP1323270B1 (en) | Adaptive filtering and dc offset removal for communications systems | |
US6952562B1 (en) | Method for filtering a mobile radiotelephone signal and corresponding mobile radiotelephone receiver | |
EP2374213B1 (en) | Method and apparatus for removing dc offset error in a direct conversion receiver | |
WO2005029797A1 (en) | Adaptive filter | |
US7221958B2 (en) | Received signal filtering for enhanced selectivity | |
EP2651083B1 (en) | Radio receiver with reconfigurable baseband channel filter | |
US7099418B2 (en) | Receiver for a mobile radio terminal | |
JPH11195941A (en) | Agc circuit | |
Kitano et al. | A narrowband interference rejection technique for DS‐CDMA system | |
GB2344494A (en) | Digital communications receiver with selectable filtering regime | |
EP1843466B1 (en) | Method and apparatus for leveling an increasing or decreasing slope of an AM modulated receiving signal | |
CN113162640A (en) | Interference cancellation circuit and related interference cancellation method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: INFINEON TECHNOLOGIES AG, GERMANY Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:GUNZELMANN, BERTRAM;WU, XIAOFENG;REEL/FRAME:017692/0955;SIGNING DATES FROM 20050616 TO 20050620 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |
|
AS | Assignment |
Owner name: INTEL CORPORATION, CALIFORNIA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:INTEL DEUTSCHLAND GMBH;REEL/FRAME:061356/0001 Effective date: 20220708 |