CN104219180B - The treating method and apparatus of detection reference signal - Google Patents
The treating method and apparatus of detection reference signal Download PDFInfo
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- CN104219180B CN104219180B CN201410494302.9A CN201410494302A CN104219180B CN 104219180 B CN104219180 B CN 104219180B CN 201410494302 A CN201410494302 A CN 201410494302A CN 104219180 B CN104219180 B CN 104219180B
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Abstract
The invention discloses a kind for the treatment of method and apparatus of detection reference signal, the average noise power and noise general power of each targeted customer is calculated in detection reference signal time domain channel response sequence first；Then the channel estimation in frequency domain value of targeted customer on each antenna is calculated according to the channel estimation value on each antenna in targeted customer's window in detection reference signal time domain channel response sequence；Channel estimation in frequency domain value further according to targeted customer on each antenna calculates the total power signal of targeted customer on each antenna；The total power signal and noise general power obtained finally according to calculating calculates the total signal to noise ratio of each targeted customer.The present invention distinguishes multiple users of multiple code division multiplexings in receiving terminal, and the signal to noise ratio of targeted customer is obtained in targeted customer's window, and actual application value is high；The average noise power of each targeted customer is directly calculated in detection reference signal time domain channel response sequence simultaneously, it is ensured that the primitiveness of average noise power, improve accuracy of measurement.
Description
Technical field
The present invention relates to wireless communication technology field, the processing method and dress of more particularly to a kind of detection reference signal
Put.
Background technology
LTE (Long Term Evolution, Long Term Evolution) system uses OFDM (Orthogonal Frequency
Division Multiplexing, OFDM) technology and SC-FDMA (Single-carrier Frequency-
Division Multiple Access, single-carrier frequency division multiple access) technology effectively improves the availability of frequency spectrum, and LTE system is
A kind of wide-band communication system, the system bandwidth of support includes：1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz and 20MHz.In order to
Be easy in the distribution of resource, current LTE system on frequency domain with PRB (Physical Resource Block, physical resource
Module) resource allocation is carried out for smallest particles degree, wherein, a PRB includes 12 subcarriers, and the band of each subcarrier is a width of
15KHz.For broadband system, due to channel fading suffered on each frequency band of different user equipmenies over the whole width
It is different with disturbing, therefore during network side progress scheduling of resource, for different UE (User Equipment, user equipment) whole
Difference in channel quality on the different frequency bands of individual bandwidth, the preferable bandwidth assignment of selection channel quality gives corresponding UE, so as to obtain
The selective scheduling gains of frequency domain are obtained, systematic function is highly improved.
In current LTE system, upstream frequency selectively scheduling Main Basiss eNB (evolved Node B, base station) is to UE
The SRS (Sounding Reference Signal, detection reference signal) of transmission measurement, according to measurement result come selectivity
Energy preferably band resource distributes to UE.Simultaneously in order to support more users carry out frequency domain selectively to dispatch, employ
The mode of code division multiplexing, multiple users are launched on identical running time-frequency resource, and it uses identical basic sequence, different
Cyclic shift is distinguished.Specifically expression formula is：Wherein ru,v(n) it is basic sequence,For cyclic shift,1,2,3,4,5,6,7, configured by high level.The side of this code division multiplexing
Formula is reflected in time domain, is that transmission time is divided into multiple time windows, different user foundationThe difference of value, respective
Time window in be transmitted, as shown in Figure 1.
It is overlapping on frequency domain although multiple users of code division multiplexing are separated in time, and receives termination
The frequency domain form of the exactly SRS signal received.Therefore how the user of multiple code division multiplexings to be distinguished in receiving terminal, and obtain
The signal to noise ratio of each user is the key of frequency selective scheduling.
The content of the invention
Based on above-mentioned situation, the present invention proposes a kind of processing method of detection reference signal, in receiving terminal by multiple codes
Divide the user of multiplexing to distinguish, the signal to noise ratio of targeted customer is obtained, with good application value.
To achieve these goals, the embodiment of technical solution of the present invention is：
A kind of processing method of detection reference signal, comprises the following steps：
The average noise power of targeted customer on each antenna, root are calculated in detection reference signal time domain channel response sequence
The noise general power of targeted customer on each antenna is calculated according to the average noise power of targeted customer on each antenna；
Estimated in the detection reference signal time domain channel response sequence according to the channel on each antenna in targeted customer's window
Evaluation calculates the channel estimation in frequency domain value of targeted customer on each antenna；
It is total according to the signal that the channel estimation in frequency domain value of targeted customer on each antenna calculates targeted customer on each antenna
Power；
Targeted customer on each antenna is calculated according to the total power signal of targeted customer on each antenna and noise general power
Total signal to noise ratio.
For prior art problem, the invention also provides a kind of processing unit of detection reference signal, improve existing nothing
The present situation that method distinguishes multiple users of multiple code division multiplexings in receiving terminal, is adapted to application.
Specific implementation is：A kind of processing unit of detection reference signal, including：
First processing module, for calculating targeted customer on each antenna in detection reference signal time domain channel response sequence
Average noise power, making an uproar for targeted customer on each antenna is calculated according to the average noise power of targeted customer on each antenna
Sound general power；
Channel estimation module, in the detection reference signal time domain channel response sequence according to target on each antenna
Channel estimation value in user's window calculates the channel estimation in frequency domain value of targeted customer on each antenna；
Second processing module, each antenna is calculated for the channel estimation in frequency domain value according to targeted customer on each antenna
The total power signal of targeted customer；
Signal-to-noise ratio computation module, based on the total power signal and noise general power according to targeted customer on each antenna
Calculate the total signal to noise ratio of targeted customer on each antenna.
Compared with prior art, beneficial effects of the present invention are：The treating method and apparatus of detection reference signal of the present invention,
The average noise power of targeted customer and noise total work on each antenna are calculated in detection reference signal time domain channel response sequence
Rate, and the time domain channel estimate of targeted customer is transformed into frequency domain, obtains targeted customer's channel estimation in frequency domain value, then root again
The total power signal of targeted customer on each antenna is calculated according to the channel estimation in frequency domain value of targeted customer on each antenna, finally according to
The subscriber signal general power and noise general power arrived calculates the total signal to noise ratio of user.The present invention is in receiving terminal by multiple code division multiplexings
User distinguish, obtain the signal to noise ratio of targeted customer, actual application value is high；Directly rung in detection reference signal time domain channel
Answer the average noise power that each targeted customer is calculated in sequence, it is ensured that the primitiveness of average noise power, improve accuracy of measurement.
Brief description of the drawings
Fig. 1 transmits the schematic diagram of detection reference signal for each targeted customer in the prior art in respective time window；
Fig. 2 is the process flow figure of detection reference signal in one embodiment；
Fig. 3 is the process flow figure based on detection reference signal in method one shown in Fig. 2 specific example；
Fig. 4 is the processing device structure diagram of detection reference signal in one embodiment.
Embodiment
For the objects, technical solutions and advantages of the present invention are more clearly understood, below in conjunction with drawings and Examples, to this
Invention is described in further detail.It should be appreciated that embodiment described herein is only to explain the present invention,
Do not limit protection scope of the present invention.
The processing method of detection reference signal in a kind of embodiment, as shown in Fig. 2 comprising the following steps：
Step S201：Being averaged for targeted customer on each antenna is calculated in detection reference signal time domain channel response sequence to make an uproar
Acoustical power, the noise total work of targeted customer on each antenna is calculated according to the average noise power of targeted customer on each antenna
Rate；
Step S202：According on each antenna in targeted customer's window in the detection reference signal time domain channel response sequence
Channel estimation value calculate the channel estimation in frequency domain value of targeted customer on each antenna；
Step S203：Targeted customer on each antenna is calculated according to the channel estimation in frequency domain value of targeted customer on each antenna
Total power signal；
Step S204：Calculated according to the total power signal of targeted customer on each antenna and noise general power on each antenna
The total signal to noise ratio of targeted customer.
It is evidenced from the above discussion that, this method calculates signal to noise ratio accurately, simply, is adapted to practical application.
It is described that target use on each antenna is calculated in detection reference signal time domain channel response sequence as one embodiment
The step of average noise power at family, includes：
In the detection reference signal time domain channel response sequence by each antenna targeted customer main footpath value and
It is worth the signal power that R nearest sampling point calculates targeted customer on each antenna apart from main footpath, in the detection reference signal
The sampling point for calculating the signal power of targeted customer on each antenna is removed in time domain channel response sequence, according to remaining sampling point
The average noise power of targeted customer on each antenna is calculated, whereinL is targeted customer's window length on each antenna,
Method is accurate, simple, and application value is high.
As one embodiment, the channel estimation in frequency domain value according to targeted customer on each antenna calculates each antenna
The step of total power signal of upper targeted customer, includes：
When the time delay of targeted customer on each antenna is less than predetermined threshold value ThTAWhen, with targeted customer on each antenna
The modulus value of channel estimation in frequency domain value square is weight coefficient, and the channel estimation in frequency domain value to targeted customer on each antenna enters
Row merges：
Wherein H (k) represents each antenna
The combined value of channel estimation in frequency domain value on upper k-th of subcarrier of targeted customer, Hx(k) targeted customer on x-th of antenna is represented
Channel estimation in frequency domain value on k-th of subcarrier, x=1,2 ..., i, i represent antenna number, threshold T h is setTAMain mesh
Be because targeted customer delay inequality than it is larger when, use the channel estimation in frequency domain value of targeted customer modulus value square for add
Weight coefficient, can reduce signal power, so Th after the channel estimation in frequency domain value merging for carrying out targeted customer on each antennaTAUsually
Take smaller value, specific value will be according to actual conditions depending on；
When the time delay of targeted customer on each antenna is more than predetermined threshold value ThTA, and on each antenna targeted customer signal to noise ratio
More than predetermined threshold value ThSNRWhen, the signal to noise ratio using targeted customer on each antenna is weight coefficient, on each antenna
The channel estimation in frequency domain value of targeted customer is merged：
Wherein H (k) represents mesh on each antenna
Mark the combined value of the channel estimation in frequency domain value on k-th of subcarrier of user, Hx(k) k-th of targeted customer on x-th of antenna is represented
Channel estimation in frequency domain value on subcarrier, SNRxRepresent the signal to noise ratio of targeted customer on x-th of antenna, x=1,2 ..., i, i table
Show antenna number, predetermined threshold value ThSNRIt is a smaller value, it is considered that when the signal to noise ratio estimated is less than the threshold value,
With regard to insincere；
Mesh on each antenna is calculated according to the amalgamation result of the channel estimation in frequency domain value of targeted customer on each antenna
Mark the total power signal of user；
The time delay of targeted customer is isolated by being carried out to targeted customer's window on each antenna on each antenna, each described
The signal to noise ratio of targeted customer is obtained according to the signal power of targeted customer on each antenna and average noise power calculation on antenna
Arrive；
Different merging algorithms are provided to targeted customer's channel estimation in frequency domain value according to the time delay and signal to noise ratio of targeted customer
Merge, more accurate signal to noise ratio can be obtained, meet practical application.
As one embodiment, the channel estimation in frequency domain value according to targeted customer on each antenna calculates each antenna
The step of total power signal of upper targeted customer, includes：
The total signal of targeted customer on each antenna is calculated according to the channel estimation in frequency domain value of targeted customer on each antenna
Power, total signal power is averaging the total power signal for obtaining targeted customer on each antenna, calculated after cumulative
Simply, accelerate subsequent treatment, meet reality.
As one embodiment, the detection reference signal time domain channel response sequence is by the way that the local detection of storage is joined
Examine frequency domain sounding reference signal sequence of the signal sequence with receiving and carry out conjugate multiplication computing, then to being obtained after conjugate multiplication computing
Frequency domain actual channel coefficients sequence carry out inverse discrete fourier transform obtain；
The noise general power after the average noise power of targeted customer on each antenna is added up by being averaging
Arrive, it is ensured that being normally carried out for subsequent treatment, be adapted to application.
As one embodiment, used in the detection reference signal time domain channel response sequence according to target on each antenna
The step of channel estimation value in the window of family calculates the channel estimation in frequency domain value of targeted customer on each antenna includes：
To the channel in targeted customer's window on each antenna in the detection reference signal time domain channel response sequence
Estimate carries out the channel estimation in frequency domain value that DFT obtains targeted customer on each antenna, simple, accurate, real
Border application value is high.
For a better understanding of the present invention, the processing method of a detection reference signal of the present invention detailed below should
With example, the application example is 2 reception antenna realizations：
As shown in figure 3, the processing method of application example detection reference signal, including：
Step 301：Obtain detection reference signal time domain channel response sequence；
Detection reference signal time domain channel response sequence is obtained, the frequency domain detection reference signal sequence that will be received is first had to
Row and the local sounding reference signal sequence of storage carry out conjugate multiplication computing, to obtain frequency domain actual channel coefficients sequence,
Because the sounding reference signal sequence received and local sounding reference signal sequence are frequency-region signal sequence, the two conjugation
What is obtained after multiplication is domain channel response sequence；
Its secondary frequency domain actual channel coefficients sequence to obtaining makees inverse discrete fourier transform, you can obtain detection reference
Signal time domain channel response sequence；
Step 302：Targeted customer's window on each antenna is separated, the time delay of targeted customer, noise on each antenna is obtained
Than with noise general power；
Targeted customer's window on each antenna is separated according to cyclic shift value；In detection reference signal time domain channel response
It is worth nearest R (one of R less than user's window length in sequence using the main footpath value of targeted customer on each antenna and apart from main footpath
Half) individual sampling point calculates the signal power of targeted customer on each antenna, then in detection reference signal time domain channel response sequence
Remove and calculate the point beyond signal power to calculate the average noise power of targeted customer on each antenna；Used with target on each antenna
The signal power and average noise power at family are the signal to noise ratio that can obtain targeted customer on each antenna；The calculating of noise general power is
It is averaging after the average noise power of targeted customer on each antenna is added up, in this step, calculates targeted customer on each antenna
Signal power and the ratio of average noise power be worth to the signal to noise ratio of targeted customer on each antenna, to targeted customer on each antenna
Average noise power added up, ask for it is cumulative after being averaged and be worth to the noise general power of targeted customer on each antenna；
Step 303：Calculate the channel estimation in frequency domain value of targeted customer on each antenna；
Retain the channel estimation value on each antenna in targeted customer's window in detection reference signal time domain channel response sequence
Afterwards, DFT then is carried out to it, you can obtain the channel estimation in frequency domain value of targeted customer on each antenna.
Step 304：The time delay of the targeted customer merging different with signal to noise ratio selection on each antenna obtained according to step 302
Algorithm is merged to the channel estimation in frequency domain value of targeted customer on each antenna, and specific system of selection is as follows：
1) when the time delay of targeted customer on each antenna is less than predetermined threshold value ThTAWhen, used with target on each antenna
The modulus value of the channel estimation in frequency domain value at family square is weight coefficient, carries out the frequency domain of targeted customer on each antenna
It is after channel estimation in frequency domain value merging in the merging of channel estimation value, wherein k-th of subcarrier of targeted customer：Wherein H1(k) represent that k-th of son of targeted customer is carried on the 1st antenna
Channel estimation in frequency domain value on ripple, H2(k) channel estimation in frequency domain on the 2nd antenna on k-th of subcarrier of targeted customer is represented
Value；
Th is setTAMain purpose be because each antenna on targeted customer delay inequality than it is larger when, using on each antenna
The modulus value of the channel estimation in frequency domain value of targeted customer square for weight coefficient merge after can reduce signal power, so
ThTAUsually take smaller value, specific value will be according to actual conditions depending on；
2) when the time delay of targeted customer on each antenna is more than predetermined threshold value ThTA, and target is used on each antenna in step 302
The signal to noise ratio at family is more than predetermined threshold value ThSNRWhen, using the signal to noise ratio of targeted customer on each antenna as weight coefficient, carry out each day
The merging of the channel estimation in frequency domain value of targeted customer on line, then the channel estimation in frequency domain value conjunction on k-th of subcarrier of targeted customer
And after be：Wherein H1And SNR (k)1It is targeted customer on the 1st antenna respectively
The signal to noise ratio of channel estimation in frequency domain value and targeted customer on k-th of subcarrier, H2And SNR (k)2It is mesh on the 2nd antenna respectively
Mark the channel estimation in frequency domain value on k-th of subcarrier of user and the signal to noise ratio of targeted customer；
Wherein predetermined threshold value ThSNRIt is a smaller value, it is considered that the signal to noise ratio estimated is less than the threshold value
When, just insincere, predetermined threshold value is drawn by emulation experience in simulations；
Step 305：Calculate the total power signal of targeted customer on each antenna；
If 1) the channel estimation in frequency domain value of targeted customer has merged on each antenna, according to the channel estimation in frequency domain of merging
Value calculates the total power signal of targeted customer on each antenna；
If 2) the channel estimation in frequency domain value of targeted customer does not merge on each antenna, first according to targeted customer on each antenna
Channel estimation in frequency domain value calculate the total signal power of targeted customer on each antenna, then by the total signal of targeted customer on each antenna
Power is cumulative to be averaging, you can obtain the total power signal of targeted customer on each antenna；
Step 306：Calculate the total signal to noise ratio of targeted customer on each antenna；
Each day that the noise general power and step 305 of targeted customer is calculated on each antenna calculated according to step 302
The total power signal of targeted customer calculates the total signal to noise ratio of targeted customer on line, in this step, calculates target on each antenna and uses
The total power signal at family and the ratio of noise general power are worth to the total signal to noise ratio of targeted customer on each antenna.
This application example distinguishes the user of multiple code division multiplexings in receiving terminal, obtains the signal to noise ratio of targeted customer, real
Border application value is high；Different merging algorithms are provided according to the time delay and signal to noise ratio of targeted customer to estimate targeted customer's frequency domain channel
Evaluation is merged, and can obtain more accurate signal to noise ratio；Directly calculated in detection reference signal time domain channel response sequence
The signal power and average noise power of each targeted customer, it is ensured that signal power and the primitiveness of average noise power, improves and surveys
Measure the degree of accuracy.
The processing unit of detection reference signal in one embodiment, as shown in figure 4, including：
First processing module, for calculating targeted customer on each antenna in detection reference signal time domain channel response sequence
Average noise power, making an uproar for targeted customer on each antenna is calculated according to the average noise power of targeted customer on each antenna
Sound general power；
Channel estimation module, in the detection reference signal time domain channel response sequence according to target on each antenna
Channel estimation value in user's window calculates the channel estimation in frequency domain value of targeted customer on each antenna；
Second processing module, each antenna is calculated for the channel estimation in frequency domain value according to targeted customer on each antenna
The total power signal of targeted customer；
Signal-to-noise ratio computation module, based on the total power signal and noise general power according to targeted customer on each antenna
Calculate the total signal to noise ratio of targeted customer on each antenna.
As shown in figure 4, a preferred embodiment of each module annexation of the present apparatus is：First processing module, channel
Estimation module, Second processing module and signal-to-noise ratio computation module are linked in sequence successively.
First processing module separates user's window first, and the average noise power and noise for calculating targeted customer on each antenna are total
Power；Then channel estimation module calculates the channel estimation in frequency domain value of targeted customer on each antenna；Again by Second processing module root
The total power signal of targeted customer on each antenna is calculated according to the channel estimation in frequency domain value of targeted customer on each antenna；Last signal to noise ratio
It is total that computing module calculates targeted customer on each antenna according to the total power signal of targeted customer on each antenna and noise general power
Signal to noise ratio, the present apparatus calculates signal to noise ratio accurately, simply, is adapted to application.
As one embodiment, the first processing module is led in the detection reference signal time domain channel response sequence
Cross the main footpath value of targeted customer and the R sampling point nearest apart from main footpath value on each antenna and calculate targeted customer on each antenna
Signal power, removed in the detection reference signal time domain channel response sequence and calculate targeted customer on each antenna
The sampling point of signal power, the average noise power of targeted customer on each antenna is calculated according to remaining sampling point, whereinL is targeted customer's window length on each antenna, and method is accurate, simple, and application value is high.
As one embodiment, the Second processing module includes：
First combining unit, is less than predetermined threshold value Th for the time delay as targeted customer on each antennaTAWhen, with each described
On antenna the modulus value of the channel estimation in frequency domain value of targeted customer square be weight coefficient, to targeted customer on each antenna
Channel estimation in frequency domain value is merged：
Wherein H (k) represents each antenna
The combined value of channel estimation in frequency domain value on upper k-th of subcarrier of targeted customer, Hx(k) targeted customer on x-th of antenna is represented
Channel estimation in frequency domain value on k-th of subcarrier, x=1,2 ..., i, i represent antenna number, threshold T h is setTAMain mesh
Be because targeted customer delay inequality than it is larger when, use the channel estimation in frequency domain value of targeted customer modulus value square for add
Weight coefficient, can reduce signal power, so Th after the channel estimation in frequency domain value merging for carrying out targeted customer on each antennaTAUsually
Take smaller value, specific value will be according to actual conditions depending on；
Second combining unit, is more than predetermined threshold value Th for the time delay as targeted customer on each antennaTA, and on each antenna
The signal to noise ratio of targeted customer is more than predetermined threshold value ThSNRWhen, it is by weighting of the signal to noise ratio of targeted customer on each antenna
Number, the channel estimation in frequency domain value to targeted customer on each antenna is merged：
Wherein H (k) represents mesh on each antenna
Mark the combined value of the channel estimation in frequency domain value on k-th of subcarrier of user, Hx(k) k-th of targeted customer on x-th of antenna is represented
Channel estimation in frequency domain value on subcarrier, SNRxRepresent the signal to noise ratio of targeted customer on x-th of antenna, x=1,2 ..., i, i table
Show antenna number, predetermined threshold value ThSNRIt is a smaller value, it is considered that when the signal to noise ratio estimated is less than the threshold value,
With regard to insincere；
First processing units, based on according to the amalgamation result of the channel estimation in frequency domain value of targeted customer on each antenna
Calculate the total power signal of targeted customer on each antenna；
The time delay of targeted customer is isolated by being carried out to targeted customer's window on each antenna on each antenna, each described
The signal to noise ratio of targeted customer is obtained according to the signal power of targeted customer on each antenna and average noise power calculation on antenna
Arrive；
Different merging algorithms are provided to targeted customer's channel estimation in frequency domain value according to the time delay and signal to noise ratio of targeted customer
Merge, more accurate signal to noise ratio can be obtained, meet practical application.
As one embodiment, the Second processing module includes：
Second processing unit, each antenna is calculated for the channel estimation in frequency domain value according to targeted customer on each antenna
The total signal power of targeted customer, is averaging after total signal power is added up and obtains targeted customer on each antenna
Total power signal, calculates simple, accelerates subsequent treatment, meet reality.
As one embodiment, the detection reference signal time domain channel response sequence is by the way that the local detection of storage is joined
Examine frequency domain sounding reference signal sequence of the signal sequence with receiving and carry out conjugate multiplication computing, then to being obtained after conjugate multiplication computing
Frequency domain actual channel coefficients sequence carry out inverse discrete fourier transform obtain；
The noise general power after the average noise power of targeted customer on each antenna is added up by being averaging
Arrive, it is ensured that being normally carried out for subsequent treatment, be adapted to application.
As one embodiment, the channel estimation module includes：
Estimation unit, for using target on each antenna in the detection reference signal time domain channel response sequence
Channel estimation value in the window of family carries out the channel estimation in frequency domain value that DFT obtains targeted customer on each antenna,
Simply, accurately, actual application value is high.
Embodiment described above only expresses the several embodiments of the present invention, and it describes more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of processing method of detection reference signal, it is characterised in that comprise the following steps：
The average noise power of targeted customer on each antenna is calculated in detection reference signal time domain channel response sequence, according to each
The average noise power of targeted customer calculates the noise general power of targeted customer on each antenna on the antenna；
According to the channel estimation value on each antenna in targeted customer's window in the detection reference signal time domain channel response sequence
Calculate the channel estimation in frequency domain value of targeted customer on each antenna；
The total power signal of targeted customer on each antenna is calculated according to the channel estimation in frequency domain value of targeted customer on each antenna；
Total according to targeted customer on the total power signal of targeted customer on each antenna and each antenna of noise general power calculating
Signal to noise ratio；
The signal that the channel estimation in frequency domain value according to targeted customer on each antenna calculates targeted customer on each antenna is total
The step of power, includes：
When the time delay of targeted customer on each antenna is less than predetermined threshold value ThTAWhen, with the frequency domain of targeted customer on each antenna
The modulus value of channel estimation value square is weight coefficient, and the channel estimation in frequency domain value to targeted customer on each antenna closes
And：
Wherein H (k) represents mesh on each antenna
Mark the combined value of the channel estimation in frequency domain value on k-th of subcarrier of user, Hx(k) k-th of targeted customer on x-th of antenna is represented
Channel estimation in frequency domain value on subcarrier, x=1,2 ..., i, i represents antenna number；
When the time delay of targeted customer on each antenna is more than predetermined threshold value ThTA, and the signal to noise ratio of targeted customer is more than on each antenna
Predetermined threshold value ThSNRWhen, the signal to noise ratio using targeted customer on each antenna is weight coefficient, to target on each antenna
The channel estimation in frequency domain value of user is merged：
Wherein H (k) represents that target is used on each antenna
The combined value of channel estimation in frequency domain value on the subcarrier of k-th of family, Hx(k) represent that k-th of son of targeted customer is carried on x-th of antenna
Channel estimation in frequency domain value on ripple, SNRxThe signal to noise ratio of targeted customer on x-th of antenna is represented, x=1,2 ..., i, i represents day
Line number；
Target on each antenna is calculated according to the amalgamation result of the channel estimation in frequency domain value of targeted customer on each antenna to use
The total power signal at family；
The time delay of targeted customer to targeted customer's window on each antenna by carrying out isolated, each antenna on each antenna
The signal to noise ratio of upper targeted customer is obtained according to the signal power of targeted customer on each antenna and average noise power calculation.
2. the processing method of detection reference signal according to claim 1, it is characterised in that described in detection reference signal
The step of average noise power of targeted customer on each antenna is calculated in time domain channel response sequence includes：
Pass through the main footpath value and distance of targeted customer on each antenna in the detection reference signal time domain channel response sequence
Main footpath is worth the signal power that R nearest sampling point calculates targeted customer on each antenna, in the detection reference signal time domain
The sampling point for calculating the signal power of targeted customer on each antenna is removed in channel response sequence, is calculated according to remaining sampling point
The average noise power of targeted customer on each antenna, whereinL is targeted customer's window length on each antenna.
3. the processing method of detection reference signal according to claim 1 or 2, it is characterised in that described according to each described
The step of channel estimation in frequency domain value of targeted customer calculates the total power signal of targeted customer on each antenna on antenna includes：
The total signal power of targeted customer on each antenna is calculated according to the channel estimation in frequency domain value of targeted customer on each antenna,
Total signal power is averaging to the total power signal for obtaining targeted customer on each antenna after cumulative.
4. the processing method of detection reference signal according to claim 1, it is characterised in that during the detection reference signal
Domain channel response sequence is by the way that the local sounding reference signal sequence of storage and the frequency domain sounding reference signal sequence of reception are entered
Row conjugate multiplication computing, then discrete Fourier contravariant is carried out to the frequency domain actual channel coefficients sequence obtained after conjugate multiplication computing
Get in return；
The noise general power is obtained by being averaging after the average noise power of targeted customer on each antenna is added up.
5. the processing method of detection reference signal according to claim 1, it is characterised in that in the detection reference signal
Targeted customer on each antenna is calculated according to the channel estimation value on each antenna in targeted customer's window in time domain channel response sequence
The step of channel estimation in frequency domain value, includes：
To the channel estimation in targeted customer's window on each antenna in the detection reference signal time domain channel response sequence
Value carries out the channel estimation in frequency domain value that DFT obtains targeted customer on each antenna.
6. a kind of processing unit of detection reference signal, it is characterised in that including：
First processing module, for calculating the flat of targeted customer on each antenna in detection reference signal time domain channel response sequence
Equal noise power, it is total according to the noise that the average noise power of targeted customer on each antenna calculates targeted customer on each antenna
Power；
Channel estimation module, in the detection reference signal time domain channel response sequence according to targeted customer on each antenna
Channel estimation value in window calculates the channel estimation in frequency domain value of targeted customer on each antenna；
Second processing module, target on each antenna is calculated for the channel estimation in frequency domain value according to targeted customer on each antenna
The total power signal of user；
Signal-to-noise ratio computation module, for calculating each according to the total power signal of targeted customer on each antenna and noise general power
The total signal to noise ratio of targeted customer on antenna；
The Second processing module includes：
First combining unit, is less than predetermined threshold value Th for the time delay as targeted customer on each antennaTAWhen, with each antenna
The modulus value of the channel estimation in frequency domain value of upper targeted customer square be weight coefficient, to the frequency domain of targeted customer on each antenna
Channel estimation value is merged：
Wherein H (k) represents mesh on each antenna
Mark the combined value of the channel estimation in frequency domain value on k-th of subcarrier of user, Hx(k) k-th of targeted customer on x-th of antenna is represented
Channel estimation in frequency domain value on subcarrier, x=1,2 ..., i, i represents antenna number；
Second combining unit, is more than predetermined threshold value Th for the time delay as targeted customer on each antennaTA, and target on each antenna
The signal to noise ratio of user is more than predetermined threshold value ThSNRWhen, the signal to noise ratio using targeted customer on each antenna is right as weight coefficient
The channel estimation in frequency domain value of targeted customer is merged on each antenna：
Wherein H (k) represents that target is used on each antenna
The combined value of channel estimation in frequency domain value on the subcarrier of k-th of family, Hx(k) represent that k-th of son of targeted customer is carried on x-th of antenna
Channel estimation in frequency domain value on ripple, SNRxThe signal to noise ratio of targeted customer on x-th of antenna is represented, x=1,2 ..., i, i represents day
Line number；
First processing units, for calculating each according to the amalgamation result of the channel estimation in frequency domain value of targeted customer on each antenna
The total power signal of targeted customer on the antenna；
The time delay of targeted customer to targeted customer's window on each antenna by carrying out isolated, each antenna on each antenna
The signal to noise ratio of upper targeted customer is obtained according to the signal power of targeted customer on each antenna and average noise power calculation.
7. the processing unit of detection reference signal according to claim 6, it is characterised in that the first processing module exists
It is worth in the detection reference signal time domain channel response sequence by the main footpath value of targeted customer on each antenna and apart from main footpath
R nearest sampling point calculates the signal power of targeted customer on each antenna, is rung in the detection reference signal time domain channel
The sampling point for being removed in sequence and calculating the signal power of targeted customer on each antenna is answered, according to the calculating of remaining sampling point is each
The average noise power of targeted customer on antenna, whereinL is targeted customer's window length on each antenna.
8. the processing unit of the detection reference signal according to claim 6 or 7, it is characterised in that the second processing mould
Block includes：
Second processing unit, target on each antenna is calculated for the channel estimation in frequency domain value according to targeted customer on each antenna
The total signal power of user, total signal power is averaging the signal for obtaining targeted customer on each antenna after cumulative
General power.
9. the processing unit of detection reference signal according to claim 6, it is characterised in that during the detection reference signal
Domain channel response sequence is by the way that the local sounding reference signal sequence of storage and the frequency domain sounding reference signal sequence of reception are entered
Row conjugate multiplication computing, then discrete Fourier contravariant is carried out to the frequency domain actual channel coefficients sequence obtained after conjugate multiplication computing
Get in return；
The noise general power is obtained by being averaging after the average noise power of targeted customer on each antenna is added up.
10. the processing unit of detection reference signal according to claim 6, it is characterised in that the channel estimation module
Including：
Estimation unit, for targeted customer's window on each antenna in the detection reference signal time domain channel response sequence
Interior channel estimation value carries out the channel estimation in frequency domain value that DFT obtains targeted customer on each antenna.
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| CN107466066A (en) * | 2017-09-13 | 2017-12-12 | 北京锐安科技有限公司 | SRS signal power measurement method and device |
| CN110012542B (en) | 2018-01-05 | 2020-09-01 | 上海朗帛通信技术有限公司 | Method and device used in user equipment and base station for wireless communication |
| CN111211850B (en) * | 2019-12-31 | 2022-05-06 | 京信网络系统股份有限公司 | Noise estimation method, apparatus, base station device, and computer-readable storage medium |
| CN113411273B (en) * | 2021-05-17 | 2022-06-24 | 杭州红岭通信息科技有限公司 | Channel estimation response noise reduction optimization method based on SRS signal |
| CN114205197B (en) * | 2022-02-15 | 2022-06-28 | 高拓讯达（北京）科技有限公司 | Channel estimation smoothing method and device |
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