CN104067656A - Speed estimation method and device - Google Patents
Speed estimation method and device Download PDFInfo
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- CN104067656A CN104067656A CN201280003018.6A CN201280003018A CN104067656A CN 104067656 A CN104067656 A CN 104067656A CN 201280003018 A CN201280003018 A CN 201280003018A CN 104067656 A CN104067656 A CN 104067656A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
Abstract
The embodiment of the invention provides a speed estimation method and device. The method comprises: during a speed estimation period, performing multi-path receiving on symbols sent by a terminal device in each time slot; performing channel estimation on the received symbols to obtain a fading factor on each path in each time slot; performing self-correlation processing on the fading factor on each path in each time slot, and performing correlation processing with a cross-correlation interval of at least 2, to obtain a fading factor self-correlation value and a fading factor cross-correlation value in the speed estimation period; and estimating a moving speed of the terminal device according to the obtained fading factor cross-correlation value and the fading factor self-correlation value. By means of the technical solution of the present invention, estimation precision of the moving speed of the terminal device can be improved, and a requirement of providing user hierarchies by a heterogeneous network (HetNet) according to the moving speed is satisfied.
Description
Speed estimation method and device
The present invention relates to the communication technology, more particularly to a kind of speed estimation method and device for technical field.Background technology
With the extensive use of mobile communications network, the requirement more and more higher that user covers to network seamless.Because intensive towering buildings can form more signal blind zone in city, service quality during in order to improve user in signal blind zone is typically employed in signal blind zone and disposes micro- station or stand blind to macro station progress benefit slightly, to improve the service quality of user.
In heterogeneous network（Heterogeneous Network, referred to as HetNet) in, due to the movement of customer location, user continually can switch between macro station and micro- station, continually switching can increase conversation loss, fall the probability of chain, can also increase the signaling traffic load of network.Therefore, in HetNet, want to be layered user according to translational speed, the user of high translational speed is distributed in the larger macro station of coverage as far as possible, and distribute the user of low translational speed on the less micro- station of coverage, so as to reduce switching of the user between macro station and micro- station.Therefore, it is necessary to which the translational speed to user carries out high-precision estimation in HetNet.At present, carrying out the method for velocity estimation mainly includes：The level for passing through predetermined level number of times by statistical signal passes through speed（Level Crossing Rate, referred to as LCR) method and correlation method, but both speed estimation methods can not meet requirements of the HetNet to the estimated accuracy of translational speed.The content of the invention is the present invention provide a kind of speed estimation method and device, to improve the estimated accuracy to the translational speed of terminal device, to meet the demand that HetNet is layered according to translational speed to user.
First aspect provides a kind of speed estimation method, including：
Within the default velocity estimation time, multipath reception is carried out in the symbol that each time slot is sent to terminal device；
Channel estimation is carried out to the symbol on every footpath in each time slot, the fading factor on every footpath in each time slot is obtained；
Auto-correlation processing is carried out respectively to the fading factor on every footpath in each time slot, obtain the fading factor autocorrelation value on every footpath in each time slot, and the cross correlation process that cross-correlation gap length is at least 2 is carried out to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, obtain the fading factor cross correlation value on every footpath in each time slot；The cross-correlation gap length is in units of time slot；
According to the fading factor autocorrelation value in each time slot on each bar footpath, obtain the fading factor autocorrelation value in the velocity estimation time, and according to the fading factor cross correlation value in each time slot on each bar footpath, obtain the fading factor cross correlation value in the velocity estimation time；
According to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the translational speed of the terminal device is estimated.
With reference in a first aspect, in the first possible implementation of first aspect, the fading factor autocorrelation value according in each time slot on each bar footpath obtains the fading factor autocorrelation value in the velocity estimation time, including：
Fading factor autocorrelation value in each time slot on each bar footpath is overlapped, the fading factor autocorrelation value in each time slot is obtained；
Fading factor autocorrelation value in each time slot is added up, the fading factor autocorrelation value in the velocity estimation time is obtained.
With reference to the first possible implementation of first aspect or first aspect, in second of possible implementation of first aspect, the fading factor cross correlation value according in each time slot on each bar footpath, obtains the fading factor cross correlation value in the velocity estimation time, including：
Fading factor cross correlation value in each time slot on each bar footpath is overlapped, the fading factor cross correlation value in each time slot is obtained；
The cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.
With reference to second of possible implementation of first aspect, in the third possible implementation of first aspect, the fading factor cross correlation value in each time slot carries out the cumulative modulus of segmentation, obtains the fading factor cross correlation value in the velocity estimation time, including：
((∑ R^ (n) f are just blunt according to formula by ∑ Ri () ^ by R (n)=∑ J, the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the decline in the velocity estimation time is obtained
Factor cross correlation value;Wherein, the fading factor cross correlation value in the velocity estimation time is represented；
A^ Len represent to be segmented accumulation interval length；
CorrLen represents the velocity estimation time；
(represent the real part of the fading factor cross correlation value in the ^ time slot；
R^ n)Represent the imaginary part of the fading factor cross correlation value in the time slot.
With reference to the third possible implementation of second possible implementation or first aspect of the first possible implementation or first aspect of first aspect or first aspect, in the 4th kind of possible implementation of first aspect, fading factor autocorrelation value in the fading factor cross correlation value and the velocity estimation time according in the velocity estimation time, estimate the translational speed of the terminal device, including：
According to the ratio of the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, search the mapping relations between default related ratio and speed, obtain the 4th kind of possible implementation with reference to first aspect, in the 5th kind of possible implementation of first aspect, the ratio of the fading factor cross correlation value according in the velocity estimation time and the fading factor autocorrelation value in the velocity estimation time, search the mapping relations between default related ratio and speed, after obtaining translational speed of the corresponding speed of the ratio as the terminal device, including：Judge whether the translational speed of the terminal device is less than the higher limit of the corresponding velocity interval of cross-correlation gap length than currently used cross-correlation gap length big 1；Wherein, one velocity interval of each cross-correlation gap length correspondence, and the more big corresponding velocity interval of cross-correlation gap length is smaller；
If it is judged that being yes, currently used cross-correlation gap length is added 1, and re-execute within the default velocity estimation time, multipath reception and subsequent operation are carried out in the symbol that each time slot is sent to terminal device, to reevaluate the translational speed of the terminal device.
Second aspect provides a kind of velocity estimation apparatus, including：
Receiving module, within the default velocity estimation time, multipath reception to be carried out in the symbol that each time slot is sent to terminal device；
Channel estimation module, for carrying out channel estimation to the symbol on every footpath in each time slot, obtains the fading factor on every footpath in each time slot；
First auto-correlation processing module, for being carried out respectively to the fading factor on every footpath in each time slot
Auto-correlation, obtains the fading factor autocorrelation value on every footpath in each time slot；
First cross correlation process module, for carrying out the cross correlation process that cross-correlation gap length is at least 2 to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, the fading factor cross correlation value on every footpath in each time slot is obtained；The cross-correlation gap length is in units of time slot；
Second auto-correlation processing module, for according to the fading factor autocorrelation value in each time slot on each bar footpath, obtaining the fading factor autocorrelation value in the velocity estimation time；
Second cross correlation process module, for according to the fading factor cross correlation value in each time slot on each bar footpath, obtaining the fading factor cross correlation value in the velocity estimation time；
Velocity estimation module, for according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, estimating the translational speed of the terminal device.
With reference to second aspect, in the first possible implementation of second aspect, the second auto-correlation processing module to the fading factor autocorrelation value in each time slot on each bar footpath specifically for being overlapped, obtain the fading factor autocorrelation value in each time slot, fading factor autocorrelation value in each time slot is added up, the fading factor autocorrelation value in the velocity estimation time is obtained.
With reference to the first possible implementation of second aspect or second aspect, in second of possible implementation of second aspect, the second cross correlation process module to the fading factor cross correlation value in each time slot on each bar footpath specifically for being overlapped, obtain the fading factor cross correlation value in each time slot, the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.
With reference to second of possible implementation of second aspect, in the third possible implementation of second aspect, the second cross correlation process module to the fading factor cross correlation value in each time slot on each bar footpath specifically for being overlapped, the fading factor cross correlation value in each time slot is obtained, according to formula
The cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained；Wherein, the fading factor cross correlation value in the velocity estimation time is represented；
A cLen represent to be segmented accumulation interval length；
CorrLen represents the velocity estimation time；
(represent the real part of the fading factor cross correlation value in the time slot；
R represents the imaginary part of the fading factor cross correlation value in the time slot.
With reference to the third possible implementation of second possible implementation or second aspect of the first possible implementation or second aspect of second aspect or second aspect, in the 4th kind of possible implementation of second aspect, the velocity estimation module is specifically for the ratio according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, search the mapping relations between default related ratio and speed, the corresponding speed of the ratio is obtained as the translational speed of the terminal device.
With reference to the 4th kind of possible implementation of second aspect, in the 5th kind of possible implementation of second aspect, the velocity estimation apparatus also includes：
Judge module, for after the translational speed that the velocity estimation module obtains the terminal device, judge the terminal device translational speed whether less than the corresponding velocity interval of cross-correlation gap length than currently used cross-correlation gap length big 1 higher limit；Wherein, one velocity interval of each cross-correlation gap length correspondence, and the more big corresponding velocity interval of cross-correlation gap length is smaller；
Trigger module, for the judged result in the judge module for when being, currently used cross-correlation gap length is added 1, and triggers the translational speed that the receiving module, the channel estimation module, the first auto-correlation processing module, the first cross correlation process module, the second auto-correlation processing module, the second cross correlation process module and the velocity estimation module reevaluate the terminal device.
The third aspect provides a kind of velocity estimation apparatus, including：
Communication interface, within the default velocity estimation time, multipath reception to be carried out in the symbol that each time slot is sent to terminal device；
Memory, for depositing program；
Processor, for performing described program, for：Channel estimation is carried out to the symbol on every footpath in each time slot, the fading factor on every footpath in each time slot is obtained；Carry out auto-correlation respectively to the fading factor on every footpath in each time slot, obtain the fading factor autocorrelation value on every footpath in each time slot；The cross correlation process that cross-correlation gap length is at least 2 is carried out to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, the fading factor cross correlation value on every footpath in each time slot is obtained；The cross-correlation gap length is in units of time slot；According to the fading factor autocorrelation value in each time slot on each bar footpath, the fading factor autocorrelation value in the velocity estimation time is obtained；According to the fading factor cross correlation value in each time slot on each bar footpath, declining in the velocity estimation time is obtained
Fall factor cross correlation value；According to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the translational speed of the terminal device is estimated.
Speed estimation method and device provided in an embodiment of the present invention, preset the velocity estimation time, within the time, the symbol sent to terminal device in each time slot carries out multipath reception, channel estimation is carried out to the symbol on every footpath in each time slot, obtain the fading factor on every footpath in each time slot, then auto-correlation and cross correlation process are carried out to the fading factor on every footpath in each time slot, obtain fading factor autocorrelation value and cross correlation value on every footpath in each time slot, by being added up respectively to the fading factor autocorrelation value and cross correlation value in each time slot on each bar footpath, obtain fading factor autocorrelation value and the cross correlation value in each time slot, and then the fading factor autocorrelation value and cross correlation value in each time slot are added up respectively, obtain fading factor cross correlation value and the autocorrelation value in the velocity estimation time, and then estimate the translational speed of terminal device.Due in this process, the cross-correlation gap length in units of time slot that progress cross correlation process is used is at least 2, compared with prior art, the precision of moving speed estimation is improved, the demand that HetNet is layered according to translational speed to user can be met.Brief description of the drawings is in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, the required accompanying drawing used in embodiment or description of the prior art will be briefly described below, apparently, drawings in the following description are some embodiments of the present invention, for those of ordinary skill in the art, without having to pay creative labor, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of speed estimation method provided in an embodiment of the present invention；
Fig. 2 is the flow chart of another speed estimation method provided in an embodiment of the present invention；
Fig. 3 is a kind of structural representation of velocity estimation apparatus provided in an embodiment of the present invention；
Fig. 4 is the structural representation of another velocity estimation apparatus provided in an embodiment of the present invention；Fig. 5 is the structural representation of another velocity estimation apparatus provided in an embodiment of the present invention.Embodiment is to make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, and below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are obtained under the premise of creative work is not made
The every other embodiment obtained, belongs to the scope of protection of the invention.
Fig. 1 is a kind of flow chart of speed estimation method provided in an embodiment of the present invention.As shown in figure 1, the method for the present embodiment includes：
Step 101, within the default velocity estimation time, the symbol sent to terminal device in each time slot carries out multipath reception.
Step 102, channel estimation is carried out to the symbol on every footpath in each time slot, obtain the fading factor on every footpath in each time slot.
Step 103, auto-correlation is carried out respectively to the fading factor on every footpath in each time slot, obtain the fading factor autocorrelation value on every footpath in each time slot, and the cross correlation process that cross-correlation gap length is at least 2 is carried out to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, obtain the fading factor cross correlation value on every footpath in each time slot；The cross-correlation gap length is in units of time slot.
Step 104, according to the fading factor autocorrelation value in each time slot on each bar footpath, obtain the fading factor autocorrelation value in the velocity estimation time, and according to the fading factor cross correlation value in each time slot on each bar footpath, obtain the fading factor cross correlation value in the velocity estimation time.
Step 105, according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, estimate the translational speed of the terminal device.
In the present embodiment, velocity estimation apparatus presets the time carried out to terminal device needed for velocity estimation, is designated as the velocity estimation time.Velocity estimation apparatus is within the default velocity estimation time, the symbol that receiving terminal apparatus is sent over each slot.Wherein, terminal device is during symbol is sent, in mobile status.Terminal device is that each symbol is sent in the form of radio wave, and due to the influence of transmission environment, the symbol that terminal device is sent can in the way of Multipath Transmission arrival rate estimation unit.Accordingly, the symbol that velocity estimation apparatus is sent to terminal device carries out multipath reception.
Wherein, terminal device can send multiple symbols in each time slot, and velocity estimation apparatus can carry out multipath reception for each symbol.
Velocity estimation apparatus is received in multipath mode after the symbol of terminal device transmission, can be carried out channel estimation to the symbol on every footpath, be obtained the fading factor on every footpath.Specifically, velocity estimation apparatus can carry out channel estimation to each symbol on every footpath, the fading factor of each symbol on every footpath is obtained, then the fading factor of all symbols on this footpath is added up, the fading factor on this footpath is obtained.Detailed description on channel estimation can be found in prior art, will not be repeated here.
Illustrate herein, velocity estimation apparatus can just carry out channel estimation often receiving a symbol, can also be after the symbol in a time slot have been received, channel estimation is carried out again, or can also be after all symbols in the velocity estimation time have been received, channel estimation is carried out again, this present embodiment is not limited, but is more preferred embodiment that receiving while carries out channel estimation.
For example, it is assumed that the fading factor of the symbol is and assumes that the number of pilot symbols in the ζ time slot is Ν on the/article footpath in the ^ time slotι, then (the 0 such as formula of fading factor 4 in the time slot on the/article footpath（1) shown in.
Ν ' is 1) after the fading factor in each time slot on every footpath is obtained, and velocity estimation apparatus carries out auto-correlation processing to the fading factor on every footpath in each time slot respectively, obtains the fading factor autocorrelation value on every footpath in each time slot.For example, exemplified by calculating the fading factor autocorrelation value in the time slot on the/article footpath, then the fading factor autocorrelation value such as formula in the time slot on the/article footpath（2) shown in.
i ( 2 )
Wherein, ^ represents 4 ') conjugation.
After the fading factor autocorrelation value in each time slot on every footpath is obtained, velocity estimation apparatus obtains the fading factor autocorrelation value in the velocity estimation time according to the fading factor autocorrelation value in each time slot on each bar footpath.Specifically, velocity estimation apparatus is overlapped to the fading factor autocorrelation value in each time slot on each bar footpath, the fading factor autocorrelation value in each time slot is obtained；Then, the fading factor autocorrelation value in each time slot is added up, obtains the fading factor autocorrelation value in the velocity estimation time.Wherein, fading factor autocorrelation value in the velocity estimation time is by revised fading factor autocorrelation value, the accumulation result that fading factor autocorrelation value i.e. in each time slot is added up is modified, and then obtains the fading factor autocorrelation value in the velocity estimation time.
After the fading factor in each time slot on every footpath is obtained, velocity estimation apparatus will also obtain the fading factor cross correlation value in each time slot on every footpath simultaneously.Specifically, velocity estimation apparatus carries out the cross correlation process that cross-correlation gap length is at least 2 to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, obtains the fading factor cross correlation value on every footpath in each time slot.In the present embodiment, reduce the granularity of the translational speed of the terminal device finally estimated exemplified by, improve the precision of the translational speed of the terminal device finally estimated, velocity estimation apparatus carries out cross correlation process using at least 2 cross-correlation gap length.That is, with current time slots carry out cross correlation process before
Time slot refers to the time slot at a distance of at least 2 time slots with current time slots.For example, an ancient weapon made of bamboo current time slots are the time slot, and assume the cross-correlation gap length that uses for 2, then the time slot before used when to the time slot progress cross correlation process is the（ζ- 2) individual time slot.In another example, it is assumed that current time slots are the time slot, and assume the cross-correlation gap length used for 3, then time slot is (" before being used when carrying out cross correlation process to the time slot) individual time slot.
An ancient weapon made of bamboo is exemplified by obtaining the fading factor cross correlation value in i-th of time slot on the Z articles footpath, then fading factor cross correlation value (such as formula in the time slot on the Z articles footpath（3) shown in.
R (") = (") + 7¾ (")= E —„) ( )· ·4 (0 ( ^ )Wherein, " cross-correlation gap length used in representing, " >=2；' represent the ^ time slot in multipath total number；(") represent the real part of fading factor cross correlation value in the ^ time slot on the/article footpath；(") represent the imaginary part of fading factor cross correlation value in the time slot on the/article footpath.
After the fading factor cross correlation value in each time slot on every footpath is obtained, velocity estimation apparatus obtains the fading factor cross correlation value in the velocity estimation time according to the fading factor cross correlation value in each time slot on each bar footpath.Specifically, velocity estimation apparatus is overlapped to the fading factor cross correlation value in each time slot on each bar footpath, the fading factor cross correlation value in each time slot is obtained；Then, the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.
To obtain the fading factor cross correlation value in i-th of time slotRExemplified by, then velocity estimation apparatus is with specific reference to formula（4) the fading factor cross correlation value (" in the time slot, is obtained).
Wherein, (real part of the fading factor cross correlation value in the time slot is represented；Represent the imaginary part of the fading factor cross correlation value in the time slot.
Further, velocity estimation apparatus is according to formula（5), obtain and the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, obtain the fading factor cross correlation value in the velocity estimation time.
Wherein, W ") represent fading factor cross correlation value in velocity estimation time；AccLe " represents segmentation accumulation interval length；Corr " represents the velocity estimation time；Represent in the time slot
Fading factor cross correlation value real part；Represent the imaginary part of the fading factor cross correlation value in the ^ time slot.
In the present embodiment, velocity estimation apparatus carries out the cumulative modulus of segmentation to the fading factor cross correlation value in each time slot in the velocity estimation time, influence of the frequency deviation fluctuation to velocity estimation accuracy can be reduced, is conducive to further improving the precision of the terminal device translational speed finally estimated.
After fading factor autocorrelation value in the fading factor cross correlation value and the velocity estimation time obtained in the velocity estimation time, velocity estimation apparatus estimates the translational speed of the terminal device according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time.
Optionally, the fading factor autocorrelation value in a kind of fading factor cross correlation value and the velocity estimation time according in the velocity estimation time, estimating the mode of the translational speed of the terminal device includes：Velocity estimation apparatus is according to the ratio of the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, search mapping between default related ratio and speed wherein, velocity estimation apparatus can be with list or the various modes of database, to store the mapping relations between related ratio and speed.Mapping relations between related ratio and speed can be obtained by modes such as experiment or theory deductions, and be prestored on velocity estimation apparatus.
In the present embodiment, the symbol that velocity estimation apparatus is sent to terminal device within the default velocity estimation time, carries out channel estimation, auto-correlation and cross correlation process, and then estimate the translational speed of terminal device.In this process, the cross-correlation gap length that velocity estimation apparatus progress cross correlation process is used is at least 2, compared with prior art, reduce maximal rate estimation range, but the precision of the translational speed estimated is improved, the demand that HetNet is layered according to translational speed to user can be met.
Fig. 2 is the flow chart of another speed estimation method provided in an embodiment of the present invention.The present embodiment is realized based on embodiment illustrated in fig. 1, as shown in Fig. 2 the method for the present embodiment is after step 105, in addition to：
Step 106, judge whether the translational speed of the terminal device is less than the higher limit of the corresponding velocity interval of cross-correlation gap length than currently used cross-correlation gap length big 1；If it is judged that being yes, step 107 is performed;Conversely, terminating this time to operate.
Step 107, currently used cross-correlation gap length added 1, and return to step 101, to reevaluate the translational speed of the terminal device.
In the present embodiment, the corresponding velocity interval of each cross-correlation gap length is previously stored with velocity estimation apparatus, wherein, velocity interval is alternatively referred to as speed stage；And the more big corresponding velocity interval of cross-correlation gap length is smaller.The velocity interval can be made up of higher limit and lower limit, wherein the lower limit of the velocity interval is generally 0, the higher limit of described velocity interval refers to maximum supported velocity estimation size.For example, so that carrier frequency is 2GHz as an example, when cross-correlation gap length is 1, corresponding velocity interval is 0-500 kilometer per hours（Km/h), i.e. ^1) corresponding velocity interval be 0-500Km/h;Cross-correlation gap length be 2 when, corresponding velocity interval be 0-240Km/h, i.e. ^ (2) corresponding velocity interval be 0-240Km/h;Cross-correlation gap length be 3 when, corresponding velocity interval be 0-160Km/h, i.e. W (3) corresponding velocity interval be 0-160Km/h;Etc..Each the corresponding velocity interval of cross-correlation gap length can be drawn by experiment or theory deduction, and be stored in advance on velocity estimation apparatus.
After the translational speed of terminal device is estimated according to step 101- steps 105, velocity estimation apparatus determines whether whether the translational speed of the terminal device estimated using currently used cross-correlation gap length meets required precision.Therefore, the higher limit of the translational speed of the terminal device estimated velocity interval corresponding with the cross-correlation gap length of currently used cross-correlation gap length big 1 is compared by velocity estimation apparatus, if the translational speed of terminal device is less than the higher limit, illustrate further improve the precision of the translational speed of terminal device.
Then, currently used cross-correlation gap length is added 1 by velocity estimation apparatus, and re-execute within the default velocity estimation time, multipath reception and subsequent operation are carried out in the symbol that each time slot is sent to terminal device, to reevaluate the translational speed of the terminal device.
Further, if the precision of the translational speed of the terminal device reevaluated out can also be improved further, the translational speed of terminal device can also be then reevaluated again, until the translational speed of the terminal device estimated meets required precision or reaches maximal accuracy, or the number of times reevaluated reaches default number of times thresholding etc., terminate the estimation to the translational speed of terminal device.
From above-mentioned, present embodiments provide a kind of present invention and be based on different cross-correlation gap lengths, the method for the precision of the laddering translational speed for stepping up the terminal device estimated.I.e. if based on(i)/ (o) translational speed estimated is less than/the higher limit of the corresponding velocity intervals of R (), then is based on(2)/R (0) moves velocity estimation；It is less than if based on I the R () translational speeds estimated(3The higher limit of the corresponding velocity intervals of)/R (0), then based on ^ (3)/^ (0) moves velocity estimation； ......；If based on W "-1) ^) translational speed that estimates is less than W ")/^0) corresponding speed
The higher limit of scope, then be based onR nMove velocity estimation.
From above-mentioned, it is relatively low that the speed estimation method that the present embodiment is provided carries out precision first with less cross-correlation gap length to the translational speed of terminal device, the larger estimation of estimation range, then can be according to application demand, the translational speed progress precision that larger cross-correlation gap length is progressively used instead to terminal device is higher, the relatively small estimation of estimation range, so as to improve the estimated accuracy to the translational speed of terminal device, and in velocity estimation process, using the processing mode of the cumulative modulus of segmentation, influence of the frequency deviation fluctuation to estimating using larger cross-correlation gap length high precision velocity can be reduced, be conducive to further improving the estimated accuracy of terminal device translational speed.
Fig. 3 is a kind of structural representation of velocity estimation apparatus provided in an embodiment of the present invention.As shown in figure 3, the velocity estimation apparatus of the present embodiment includes：Receiving module 31, channel estimation module 32, the first auto-correlation processing module 33, the first cross correlation process module 34, the second auto-correlation processing module 35, the second cross correlation process module 36 and velocity estimation module 37.
Receiving module 31, within the default velocity estimation time, multipath reception to be carried out in the symbol that each time slot is sent to terminal device.
Channel estimation module 32, is connected with receiving module 31, and the symbol on every footpath in each time slot for being received to receiving module 31 carries out channel estimation, obtains the fading factor on every footpath in each time slot.
First auto-correlation processing module 33, is connected with channel estimation module 32, for carrying out auto-correlation respectively to the fading factor on every footpath in each time slot, obtains the fading factor autocorrelation value on every footpath in each time slot.
First cross correlation process module 34, it is connected with channel estimation module 32, for carrying out the cross correlation process that cross-correlation gap length is at least 2 to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, the fading factor cross correlation value on every footpath in each time slot is obtained；The cross-correlation gap length is in units of time slot.
Second auto-correlation processing module 35, is connected with the first auto-correlation processing module 33, for according to the fading factor autocorrelation value in each time slot on each bar footpath, obtaining the fading factor autocorrelation value in the velocity estimation time.
Second cross correlation process module 36, is connected with the first cross correlation process module 34, for according to the fading factor cross correlation value in each time slot on each bar footpath, obtaining the fading factor cross correlation value in the velocity estimation time.
Velocity estimation module 37, with the second auto-correlation processing module 35 and the second cross correlation process module 36
Connection, for according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, estimating the translational speed of the terminal device.
In an optional embodiment, second auto-correlation processing module 35 is particularly used in be overlapped to the fading factor autocorrelation value in each time slot on each bar footpath, obtain the fading factor autocorrelation value in each time slot, fading factor autocorrelation value in each time slot is added up, the fading factor autocorrelation value in the velocity estimation time is obtained.Wherein, the second auto-correlation processing module 35 can also carry out cumulative to the fading factor autocorrelation value in each time slot and carry out noise correction, so as to obtain the fading factor autocorrelation value in the velocity estimation time.
In an optional embodiment, second cross correlation process module 36 is particularly used in be overlapped to the fading factor cross correlation value in each time slot on each bar footpath, obtain the fading factor cross correlation value in each time slot, the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.
In an optional embodiment, the second cross correlation process module 36 is particularly used in be overlapped to the fading factor cross correlation value in each time slot on each bar footpath, obtains the fading factor cross correlation value in each time slot, then can be according to formula（5) the cumulative modulus of segmentation, is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.On formula（5) description in above-described embodiment is can be found in, be will not be repeated here.
In an optional embodiment, velocity estimation module 37 is particularly used in the ratio according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the mapping relations between default related ratio and speed are searched, the corresponding speed of the ratio are obtained as the translational speed of the terminal device.
Further, as shown in figure 4, the velocity estimation apparatus that the present embodiment is provided can also include：Judge module 38 and trigger module 39.Judge module 38, it is connected with velocity estimation module 37, for after the translational speed that velocity estimation module 37 obtains the terminal device, judging whether the translational speed of the terminal device is less than the higher limit of the corresponding velocity interval of cross-correlation gap length than currently used cross-correlation gap length big 1；Wherein, one velocity interval of each cross-correlation gap length correspondence, and the more big corresponding velocity interval of cross-correlation gap length is smaller.
Trigger module 39, it is connected with judge module 38, for the judged result in judge module 38 for when being, currently used cross-correlation gap length is added 1, and triggers receiving module 31, channel estimation module 32, the first auto-correlation processing module 33, the first cross correlation process module 34, the second auto-correlation processing module
35th, the second cross correlation process module 36 and velocity estimation module 37 reevaluate the translational speed of the terminal device.
Wherein, trigger module 39 is also connected with receiving module 31, channel estimation module 32, the first auto-correlation processing module 33, the first cross correlation process module 34, the second auto-correlation processing module 35, the second cross correlation process module 36 and velocity estimation module 37 respectively.
Each functional module for the velocity estimation apparatus that the present embodiment is provided can be used for the flow for performing speed estimation method embodiment shown in Fig. 1 and Fig. 2, and its concrete operating principle is repeated no more, and refers to the description of embodiment of the method.
The velocity estimation apparatus that the present embodiment is provided, the symbol sent to terminal device within the default velocity estimation time carries out channel estimation, auto-correlation and cross correlation process, and then estimate the translational speed of terminal device.In this process, the cross-correlation gap length that velocity estimation apparatus progress cross correlation process is used is at least 2, compared with prior art, reduce maximal rate estimation range, the precision of the translational speed estimated is improved, the demand that HetNet is layered according to translational speed to user can be met.
Fig. 5 is the structural representation of another velocity estimation apparatus provided in an embodiment of the present invention.As shown in Fig. 5, the velocity estimation apparatus of the present embodiment includes：Communication interface 51, memory 52 and processor 53.
Communication interface 51, within the default velocity estimation time, multipath reception to be carried out in the symbol that each time slot is sent to terminal device.
Memory 52, for depositing program.Specifically, program can include program code, and described program code includes computer-managed instruction.Memory 52 may include high-speed RAM memory, it is also possible to also including nonvolatile memory（Non- volatile memory), for example, at least one magnetic disk storage.
Processor 53, the program for performing the storage of memory 52, for：Symbol in each time slot received to communication interface 51 on every footpath carries out channel estimation, obtains the fading factor on every footpath in each time slot；Carry out auto-correlation respectively to the fading factor on every footpath in each time slot, obtain the fading factor autocorrelation value on every footpath in each time slot；The cross correlation process that cross-correlation gap length is at least 2 is carried out to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, the fading factor cross correlation value on every footpath in each time slot is obtained；The cross-correlation gap length is in units of time slot；According to the fading factor autocorrelation value in each time slot on each bar footpath, the fading factor autocorrelation value in the velocity estimation time is obtained；According to the fading factor cross correlation value in each time slot on each bar footpath, the fading factor cross correlation value in the velocity estimation time is obtained；According to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, estimation
The translational speed of the terminal device.
Wherein, processor 53 can be a central processing unit（Central Processing Unit, referred to as CPU), either specific integrated circuit (Application Specific Integrated Circuit, referred to as ASIC), or it is arranged to implement one or more integrated circuits of the embodiment of the present invention.
In an optional embodiment, processor 53 is particularly used in be overlapped to the fading factor autocorrelation value in each time slot on each bar footpath, obtain the fading factor autocorrelation value in each time slot, fading factor autocorrelation value in each time slot is added up, the fading factor autocorrelation value in the velocity estimation time is obtained.Wherein, processor 53 can be also modified to the accumulation result that the fading factor autocorrelation value in each time slot is added up, so as to obtain the fading factor autocorrelation value in the velocity estimation time.
In an optional embodiment, processor 53 is particularly used in be overlapped to the fading factor cross correlation value in each time slot on each bar footpath, obtain the fading factor cross correlation value in each time slot, the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.
In an optional embodiment, processor 53 is particularly used in be overlapped to the fading factor cross correlation value in each time slot on each bar footpath, obtains the fading factor cross correlation value in each time slot, then can be according to formula（5) the cumulative modulus of segmentation, is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.On formula（5) description in above-described embodiment is can be found in, be will not be repeated here.
In an optional embodiment, processor 53 is particularly used in the ratio according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the mapping relations between default related ratio and speed are searched, the corresponding speed of the ratio are obtained as the translational speed of the terminal device.
Further, processor 53, it is additionally operable to after the translational speed of the terminal device is obtained, judge whether the translational speed of the terminal device is less than the higher limit of the corresponding velocity interval of cross-correlation gap length than currently used cross-correlation gap length big 1, and in judged result for when being, currently used cross-correlation gap length is added 1, the translational speed of the terminal device is then reevaluated.Wherein, one velocity interval of each cross-correlation gap length correspondence, and the more big corresponding velocity interval of cross-correlation gap length is smaller.
Optionally, if above-mentioned communication interface 51, memory 52 and the separate realization of processor 53, communication interface 51, memory 52 and processor 53 can be connected with each other by bus and completed each other
Communication.The bus can be industry standard architecture (Industry Standard Architecture, referred to as ISA) bus, external equipment interconnection（Peripheral Component, referred to as PCI) bus or extended industry-standard architecture (Extended Industry Standard Architecture, referred to as EISA) bus etc..The bus can be divided into address bus, data/address bus, controlling bus etc..For ease of representing, only represented in Fig. 5 with a thick line, it is not intended that only one bus or a type of bus.
If above-mentioned communication interface 51, memory 52 and processor 53 is integrated realizes on one chip, communication interface 51, memory 52 and processor 53 can complete mutual communication by internal interface.
The velocity estimation apparatus that the present embodiment is provided can be used for the flow for performing speed estimation method embodiment shown in Fig. 1 and Fig. 2, and its concrete operating principle is repeated no more, and refers to the description of embodiment of the method.
The velocity estimation apparatus that the present embodiment is provided, the symbol sent to terminal device within the default velocity estimation time carries out channel estimation, auto-correlation and cross correlation process, and then estimate the translational speed of terminal device.In this process, the cross-correlation gap length that velocity estimation apparatus progress cross correlation process is used is at least 2, compared with prior art, reduce maximal rate estimation range, the precision of the translational speed estimated is improved, the demand that HetNet is layered according to translational speed to user can be met.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above method embodiment can be completed by the related hardware of programmed instruction, foregoing program can be stored in a computer read/write memory medium, the program upon execution, performs the step of including above method embodiment；And foregoing storage medium includes：ROM, RAM, magnetic disc or CD etc. are various can be with the medium of store program codes.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although the present invention is described in detail with reference to foregoing embodiments, it will be understood by those within the art that：It can still modify to the technical scheme described in foregoing embodiments, or carry out equivalent substitution to which part or all technical characteristic；And these modifications or replacement, the essence of appropriate technical solution is departed from the scope of various embodiments of the present invention technical scheme.
Claims (1)
- Claims1st, a kind of speed estimation method, it is characterised in that including：Within the default velocity estimation time, multipath reception is carried out in the symbol that each time slot is sent to terminal device；Channel estimation is carried out to the symbol on every footpath in each time slot, the fading factor on every footpath in each time slot is obtained；Auto-correlation processing is carried out respectively to the fading factor on every footpath in each time slot, obtain the fading factor autocorrelation value on every footpath in each time slot, and the cross correlation process that cross-correlation gap length is at least 2 is carried out to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, obtain the fading factor cross correlation value on every footpath in each time slot；The cross-correlation gap length is in units of time slot；According to the fading factor autocorrelation value in each time slot on each bar footpath, obtain the fading factor autocorrelation value in the velocity estimation time, and according to the fading factor cross correlation value in each time slot on each bar footpath, obtain the fading factor cross correlation value in the velocity estimation time；According to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the translational speed of the terminal device is estimated.2nd, speed estimation method according to claim 1, it is characterised in that the fading factor autocorrelation value according in each time slot on each bar footpath, obtains the fading factor autocorrelation value in the velocity estimation time, including：Fading factor autocorrelation value in each time slot on each bar footpath is overlapped, the fading factor autocorrelation value in each time slot is obtained；Fading factor autocorrelation value in each time slot is added up, the fading factor autocorrelation value in the velocity estimation time is obtained.3rd, speed estimation method according to claim 1 or 2, it is characterised in that the fading factor cross correlation value according in each time slot on each bar footpath, obtains the fading factor cross correlation value in the velocity estimation time, including：Fading factor cross correlation value in each time slot on each bar footpath is overlapped, the fading factor cross correlation value in each time slot is obtained；The cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained. 4th, speed estimation method according to claim 3, it is characterised in that the fading factor cross correlation value in each time slot carries out the cumulative modulus of segmentation, obtains the fading factor cross correlation value in the velocity estimation time, including：It is just blunt according to formula , the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained；Wherein, the fading factor cross correlation value in the velocity estimation time is represented；A cLen represent to be segmented accumulation interval length；CorrLen represents the velocity estimation time；(represent the real part of the fading factor cross correlation value in the time slot；RQ' (n) represent the time slot in fading factor cross correlation value imaginary part.5th, the speed estimation method according to claim any one of 1-4, it is characterized in that, fading factor autocorrelation value in the fading factor cross correlation value and the velocity estimation time according in the velocity estimation time, estimates the translational speed of the terminal device, including：According to the ratio of the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the mapping relations between default related ratio and speed are searched, are obtained6th, speed estimation method according to claim 5, it is characterized in that, the ratio of the fading factor cross correlation value according in the velocity estimation time and the fading factor autocorrelation value in the velocity estimation time, search the mapping relations between default related ratio and speed, after obtaining translational speed of the corresponding speed of the ratio as the terminal device, including：Judge the terminal device translational speed whether be less than it is bigger than currently used cross-correlation gap lengthThe higher limit of the 1 corresponding velocity interval of cross-correlation gap length；Wherein, one velocity interval of each cross-correlation gap length correspondence, and the more big corresponding velocity interval of cross-correlation gap length is smaller；If it is judged that being yes, currently used cross-correlation gap length is added 1, and re-execute within the default velocity estimation time, multipath reception and subsequent operation are carried out in the symbol that each time slot is sent to terminal device, to reevaluate the translational speed of the terminal device.7th, a kind of velocity estimation apparatus, it is characterised in that including：Receiving module, within the default velocity estimation time, being sent to terminal device in each time slot Symbol carry out multipath reception；Channel estimation module, for carrying out channel estimation to the symbol on every footpath in each time slot, obtains the fading factor on every footpath in each time slot；First auto-correlation processing module, for carrying out auto-correlation respectively to the fading factor on every footpath in each time slot, obtains the fading factor autocorrelation value on every footpath in each time slot；First cross correlation process module, for carrying out the cross correlation process that cross-correlation gap length is at least 2 to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, the fading factor cross correlation value on every footpath in each time slot is obtained；The cross-correlation gap length is in units of time slot；Second auto-correlation processing module, for according to the fading factor autocorrelation value in each time slot on each bar footpath, obtaining the fading factor autocorrelation value in the velocity estimation time；Second cross correlation process module, for according to the fading factor cross correlation value in each time slot on each bar footpath, obtaining the fading factor cross correlation value in the velocity estimation time；Velocity estimation module, for according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, estimating the translational speed of the terminal device.8th, velocity estimation apparatus according to claim 7, it is characterized in that, the second auto-correlation processing module to the fading factor autocorrelation value in each time slot on each bar footpath specifically for being overlapped, obtain the fading factor autocorrelation value in each time slot, fading factor autocorrelation value in each time slot is added up, the fading factor autocorrelation value in the velocity estimation time is obtained.9th, the velocity estimation apparatus according to claim 7 or 8, it is characterized in that, the second cross correlation process module to the fading factor cross correlation value in each time slot on each bar footpath specifically for being overlapped, obtain the fading factor cross correlation value in each time slot, the cumulative modulus of segmentation is carried out to the fading factor cross correlation value in each time slot, the fading factor cross correlation value in the velocity estimation time is obtained.10th, velocity estimation apparatus according to claim 9, it is characterized in that, the second cross correlation process module obtains the fading factor cross correlation value in each time slot, according to formula specifically for being overlapped to the fading factor cross correlation value in each time slot on each bar footpathR (n) = ∑ ( ∑ Ri (n)† + ( ∑ RQ' (n)fM=l, ^ ^^ P] the cumulative modulus of ^. ^- factors cross correlation value progress segmentation, obtain the fading factor cross correlation value in the velocity estimation time； Wherein, W ") represent fading factor cross correlation value in velocity estimation time；A cLen represent to be segmented accumulation interval length；CorrLen represents the velocity estimation time；(represent the real part of the fading factor cross correlation value in the time slot；RQ' (n) represent the ζ time slot in fading factor cross correlation value imaginary part.11st, the velocity estimation apparatus according to claim any one of 7-10, it is characterized in that, the velocity estimation module is specifically for the ratio according to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, search default related ratio and speed 12, velocity estimation apparatus according to claim 11, characterized in that, also including：Judge module, for after the translational speed that the velocity estimation module obtains the terminal device, judge the terminal device translational speed whether less than the corresponding velocity interval of cross-correlation gap length than currently used cross-correlation gap length big 1 higher limit；Wherein, one velocity interval of each cross-correlation gap length correspondence, and the more big corresponding velocity interval of cross-correlation gap length is smaller；Trigger module, for the judged result in the judge module for when being, currently used cross-correlation gap length is added 1, and triggers the translational speed that the receiving module, the channel estimation module, the first auto-correlation processing module, the first cross correlation process module, the second auto-correlation processing module, the second cross correlation process module and the velocity estimation module reevaluate the terminal device.13rd, a kind of velocity estimation apparatus, it is characterised in that including：Communication interface, within the default velocity estimation time, multipath reception to be carried out in the symbol that each time slot is sent to terminal device；Memory, for depositing program；Processor, for performing described program, for：Channel estimation is carried out to the symbol on every footpath in each time slot, the fading factor on every footpath in each time slot is obtained；Carry out auto-correlation respectively to the fading factor on every footpath in each time slot, obtain the fading factor autocorrelation value on every footpath in each time slot；The cross correlation process that cross-correlation gap length is at least 2 is carried out to the fading factor on every footpath in each time slot and the fading factor on identical footpath in time slot before, the fading factor cross correlation value on every footpath in each time slot is obtained；The cross-correlation gap length is in units of time slot；According to the fading factor autocorrelation value in each time slot on each bar footpath, the fading factor autocorrelation value in the velocity estimation time is obtained；According to the fading factor cross correlation value in each time slot on each bar footpath, the fading factor cross correlation value in the velocity estimation time is obtained；According to the fading factor autocorrelation value in the fading factor cross correlation value in the velocity estimation time and the velocity estimation time, the translational speed of the terminal device is estimated.
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