WO2022001240A1 - Detection method, device, and communication apparatus - Google Patents

Abstract

The present application provides a detection method, a device, and a communication apparatus, pertaining to the technical field of communications. The detection method comprises: determining received signals according to pilot signals respectively sent by m user equipment (UE) units and channel responses to undergo detection of the m UE units, wherein m is a positive integer greater than 1; determining, according to the pilot signals of the m UE units and the received signals, an estimated value of the channel response of each of the UE units for every round of D rounds; and determining a detection result, wherein the detection result is an estimated value of the channel response of said UE unit for the D-th round, and D is a positive integer greater than 1. A network apparatus of the present application receives pilot signals sent by multiple UE units, and then processes the received signals by means of two interference control architectures, i.e., a base cancellation framework and a residual cancellation framework, so as to eliminate interference from non-orthogonal pilot signals and inter-cell interference. In this way, the invention realizes channel response detection of each UE unit, thereby increasing the number of pilot resources in a base station and system capacity.

Description

A detection method, device and communication equipment

This application claims the priority of the Chinese patent application with the application number 202010624975.7 and the application title "A detection method, device and communication equipment" filed with the State Intellectual Property Office of China on July 2, 2020, the entire contents of which are incorporated by reference in this application.

technical field

The present invention relates to the field of communication technologies, and in particular, to a detection method, an apparatus and a communication device.

Background technique

With the respective development of mobile communication and broadband wireless access technologies, the mutual penetration of the two services is becoming more and more close. In order to meet the demand for bandwidthization of mobile communication and the adjustment to the mobility of broadband communication, communication systems such as Long Term Evolution (LTE) and 5G are gradually introduced into mobile communication.

In the prior art, in a massive multiple-input multiple-output (massive multiple-input multiple-output, Massive MIMO) system, since systems such as LTE and 5G have high requirements for spectrum utilization, the same-frequency networking method is introduced. Improve spectrum utilization to meet the spectrum utilization requirements of LTE, 5G and other systems. Taking the sounding reference signal (SRS) as an example, when the SRS is scheduled frequently, it is often used for measurement estimation, channel quality detection, etc. If the inter-cell pilot signals use the same spectrum resources, it will appear Severe inter-cell interference reduces the signal-to-noise ratio of the SRS.

SUMMARY OF THE INVENTION

In order to solve the above problem of reducing the signal-to-noise ratio of the pilot signal, the embodiments of the present application provide a detection method, an apparatus, and a communication device.

In a first aspect, the present application provides a detection method. The method is performed by a network device, and includes: determining a received signal according to pilot signals sent by m user equipment UEs and channel responses to be detected of the m UEs. The m is a positive integer greater than 1; according to the pilot signals of the m UEs and the received signals, determine the estimated value of the channel response to be detected of each UE under each round of estimation in the D round; determine the detection As a result, the detection result is an estimated value of the to-be-detected channel response of each UE under the D-th round of estimation, where D is a positive integer greater than 1.

In this embodiment, after receiving pilot signals sent by multiple UEs, in order to eliminate the interference problem under the non-orthogonal pilot frequency and the interference problem between cells, the network device uses a basic cancellation framework and a residual cancellation framework The two interference contrast architectures process the received signal to detect the channel response of each UE to increase the number of pilot resources and system capacity within the network equipment.

In an embodiment, when the channel response to be detected of the UE is estimated in the Nth round, the N is a positive integer, and N=1; signal to determine the estimated value of the channel response to be detected of each UE under the first round of estimation, including: determining the channel response to be detected of the first UE according to the pilot signals of the m UEs and the received signal The estimated value under the first round of estimation; or the to-be-detected channel of each UE is determined according to the pilot signals of the m UEs, the received signals, and the previously determined channel responses of the UEs that need to be cancelled The estimated value of the response in the first round of estimation, wherein the channel response of the previously determined UE that needs to be canceled of the kth UE includes the channel responses to be detected of the 1st to k-1th UEs in the th The estimated value under 1 round of estimation, the k is a positive integer, and 1<k≤m.

In this embodiment, the acquired received signal is processed through the basic cancellation framework, that is, the channel response estimate value of each UE is calculated through the received signal, and then the previously determined channel response estimate value of the UE is cancelled. Then, through multiple rounds of iterative reduction processing, the interference of the estimated channel response values of UEs other than itself in the previous round of estimation is cancelled, so that the channel response to each UE is infinitely close to the real value.

In an embodiment, when the channel response to be detected of the UE is estimated in the Nth round, the N is a positive integer, and 1<N≤D; the received signal, and determining the estimated value of the channel response to be detected of each UE under the Nth round of estimation, including: according to the pilot signals of the m UEs, the received signal, and a previously determined value that needs to be canceled The channel response of the UE is determined, and the estimated value of the channel response to be detected of each UE under the Nth round of estimation is determined, wherein the previously determined channel response of the UE that needs to be cancelled includes other m-1 UEs The estimated value of the to-be-detected channel response under the N-1th round of estimation.

In this embodiment, the acquired received signal is processed through the basic cancellation framework, that is, the channel response estimate value of each UE is calculated through the received signal, and then the previously determined channel response estimate value of the UE is cancelled. Then, through multiple rounds of iterative reduction processing, the interference of the estimated channel response values of UEs other than itself in the previous round of estimation is cancelled, so that the channel response to each UE is infinitely close to the real value.

In an embodiment, the processing method for determining the estimated value of the channel response to be detected of each UE under the first round of estimation is specifically:

Wherein, H _1,rebi represents the estimated value of the channel response to be detected of each UE determined first in the first round of estimation, k represents the identifier for numbering each UE, and _Sk ^* represents the conjugate of _Sk;

The processing method for determining the estimated value of the channel response to be detected of each UE under the n>1th round of estimation is specifically:

Among them, m represents the number of received pilot signals, and k≤m, H _{N-1, rebi} represents the estimated value of the channel response to be detected of each UE under the N-1th round of estimation, and N represents for each UE The number of rounds that are being estimated, _Sk ^* denotes the conjugate of _Sk.

In an embodiment, the determining, according to the pilot signals of the m UEs and the received signals, determines the estimated value of the channel response to be detected of each UE under each round of estimation in the D rounds, including: According to the pilot signals of the m UEs, the differential signals of the m UEs, and the historical channel responses of the m UEs, determine the estimated value of the channel response to be detected of each UE under the Nth round of estimation; The estimated value of the to-be-detected channel response of each UE under the Nth round of estimation is determined in order, and the differential signal is the received signal, the received signal, the pilot signal of the previous UE, and the received signal. The signal determined by the residual of the previous UE and the differential signal of the previous UE, the pilot signal of the previous UE and the signal determined by the residual of the previous UE, the residual is the UE's pending signal. The difference between the estimated value of the detected channel response under the Nth round of estimation and the historical channel response in the Nth round of estimation, where the historical channel response is the UE's channel response to be detected in the N-1 round The estimated value under the sub-estimation, the N is a positive integer, and 1≤N≤D.

In this embodiment, the received signal is processed through the residual cancellation framework, that is, the residual of each UE and the differential signal of each UE are sequentially calculated through the received signal, and then combined with the historical channels of each UE In response, the estimated value of the channel response of each UE is calculated, and finally through multiple rounds of iterative incremental processing, the estimated value of each UE in the previous round is superimposed, so that the channel response to each UE is infinitely close to the real value.

In an embodiment, the processing method for determining the estimated value of the channel response to be detected of each UE under multiple rounds of estimation is specifically:

Among them, k represents the identifier for numbering each UE, N represents the number of rounds of estimation for each UE, Y _{N, lsk} represents the received signal of the kth UE in the Nth round of estimation, H _{N-1 ,rebk} represents the historical channel response of the kth UE in the N- _{1th round of estimation, H 0,rebk} =0.

In an embodiment, the method further includes: determining a residual under the N+1th round of estimation of the kth UE, where the residual under the N+1th round of estimation of the kth UE is Obtained by subtracting the estimated value of the channel response to be detected of the kth UE under the Nth round of estimation minus the historical channel response of the kth UE under the Nth round of estimation, where k is positive Integer, and 1≤k≤m.

In an embodiment, the method further includes: determining differential information of the k+1th UE, where the differential information of the k+1th UE is obtained by subtracting the differential information of the kth UE from the obtained by multiplying the pilot signal of the kth UE and the residual of the kth UE.

In one embodiment, the method further includes: determining historical channel responses under N+1 rounds of estimation of the m UEs, where the historical channel responses of the m UEs under N+1 rounds of estimation are: The estimated value of the to-be-detected channel responses of the m UEs under the Nth round of estimation.

In an embodiment, after determining, according to the pilot signals of the m UEs and the received signals, the estimated value of the to-be-detected channel response of each UE under each round of estimation in the D rounds, The method further includes: performing an inverse Fourier transform (IDFT) on the obtained estimated value of the to-be-detected channel response of each UE under each round of estimation in the D rounds, to obtain a first time-domain estimated value; The estimated value of the to-be-detected channel response of the UE under each round of estimation in round D is the first frequency domain estimated value; the first time domain estimated value is nonlinearly reconstructed to obtain the second time domain estimated value; Fourier transform DFT is performed on the second time-domain estimated value to obtain a second frequency-domain estimated value.

In this embodiment, after obtaining the time-domain channel response, the network device reconstructs the waveform of the time-domain channel response, the purpose of which is that for interference cancellation, nonlinear processing must be added in each iteration process Compared with the channel response before processing, the channel response after the nonlinear processing is closer to the real channel response.

In an implementation manner, performing nonlinear reconstruction on the first time-domain estimated value to obtain a second time-domain estimated value includes: according to the sequence length of the pilot signal of each UE and the each The length of the waveform of the first time-domain estimated value of the channel response to be detected of the UE constructs an envelope function; through the set threshold, on the waveform of the first time-domain estimated value of the channel response to be detected of each UE Selecting a position with stronger power, and constructing an envelope waveform matrix; by inverting the envelope waveform matrix, calculate the third time domain estimated value of the channel response to be detected for each UE; The third time-domain estimated value of the channel response to be detected of each UE and the envelope function are used to calculate the second time-domain estimated value.

In a second aspect, an embodiment of the present application further provides a detection apparatus, including at least one processor, where the processor is configured to execute an instruction stored in a memory, so that the terminal executes each possible implementation of the first aspect.

In a third aspect, the embodiments of the present application further provide a communication device, which is configured to execute various possible implementations of the first aspect.

In a fourth aspect, the embodiments of the present application further provide a computer-readable storage medium on which a computer program is stored, and when the computer program is executed in a computer, the computer is made to execute the various possible implementations of the first aspect. .

In a fifth aspect, an embodiment of the present application further provides a computing device, including a memory and a processor, wherein the memory stores executable code, and when the processor executes the executable code, the first On the one hand various possible embodiments.

In a sixth aspect, an embodiment of the present application further provides a communication system, including a base station and at least one user equipment UE, where the base station is configured to execute the various possible implementations of the first aspect.

Description of drawings

The following briefly introduces the accompanying drawings required in the description of the embodiments or the prior art.

FIG. 1 is a schematic structural diagram of a detection system provided by an embodiment of the present application;

2 is a flowchart of processing a received signal through a basic cancellation framework to obtain channel information of each UE provided by an embodiment of the present application;

FIG. 3 is a schematic diagram of time-domain waveform reconstruction provided by an embodiment of the present application;

4 is a flowchart of a process of designing an envelope function provided by an embodiment of the present application;

5 is a flowchart of processing a received signal through a residual cancellation framework to obtain channel information of each UE according to an embodiment of the present application;

6 is a schematic structural diagram of a detection device provided by an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a communication device according to an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a base station according to an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

FIG. 1 is a schematic structural diagram of a detection system provided by an embodiment of the present application. As shown in FIG. 1 , the system includes at least one base station 110_N and at least one user equipment (user equipment, UE) 120_M. Generally speaking, one base station covers or manages one or more cells, and in one cell, there will be multiple UEs listening or receiving signals.

Taking the base station 110_2 as an example, the base station 110_2 can not only allocate non-orthogonal pilot resources for UE 120_4, UE 120_5 and UE 120_6 in cell B of this base station, but also can allocate non-orthogonal pilot resources for UE 120_2 in other cell A and UE120_M- in cell C. 2 Allocate non-orthogonal pilot resources. After obtaining the non-orthogonal pilot resources allocated by the base station side, the UE side may send a pilot signal to the base station side through the allocated non-orthogonal pilot frequency resources. After the base station side receives the pilot signals sent by multiple UEs, in order to eliminate the interference problem under the non-orthogonal pilot frequency and the interference problem between cells, the base station side of the present application uses two basic cancellation frameworks and residual cancellation frameworks. This interference comparison architecture processes the received signal to detect the channel response of each UE to increase the number of pilot resources and system capacity in the base station.

The following two embodiments describe how the base station processes the received signal through two interference comparison architectures, namely the basic cancellation framework and the residual cancellation framework, to detect the channel response of each UE.

Example 1

FIG. 2 is a flowchart of processing a received signal through a basic cancellation framework to obtain a channel response of each UE according to an embodiment of the present application. As shown in Figure 2, the specific implementation process of the base station is as follows:

Step S201, the base station receives a pilot signal sent by at least one UE.

The pilot signal includes a common demodulation reference signal (cell-specific reference signal, CRS), a downlink demodulation reference signal (downlink demodulation reference signal, DL DMRS), an uplink demodulation reference signal (uplink demodulation reference signal, UL DMRS) , channel state information-reference signal (CSI-RS), positioning pilot signal (positioning reference signal, PRS), primary synchronization signal (PSS), secondary synchronization signal (secondary synchronization signal, SSS), discovery reference signal (discovery reference signal, DRS), SRS, etc., the embodiment of the present application may be any one, which is not limited here.

Specifically, after receiving the pilot signals sent by the multiple UEs, the base station numbers the multiple UEs, namely UE 1, UE 2,...UE k... . In addition, it is defined that the pilot signal sent by UE 1 is S1, the pilot signal sent by UE2 is S2, and so on, the pilot signal sent by UE k is Sk. Wherein, k represents an identifier for numbering each UE.

According to the principle of numbering multiple UEs by the base station in the present application, optionally, the base station sorts the priorities of each UE according to the priority. In the process, the higher the ranking of the UE, the more accurate the estimated channel response. Among them, high-priority users are defined as users who have higher requirements on the capacity of the uplink and downlink systems, such as users of large-package services, users at near-point locations of cells, or users with large bandwidth, and so on.

For the convenience of subsequent descriptions, the multiple pilot signals received by the base station are mathematically modeled, and the received multiple pilot signals and the UE's channel response to be detected corresponding to each pilot signal are modeled to obtain The received signal Y is defined as:

Wherein, k represents the sequence number for numbering each UE, _Sk represents the coefficient matrix of the pilot signal sent by each UE, and H _k represents the channel response to be detected by each UE.

Step S202, the base station performs iterative estimation of interference cancellation on the channel response of each UE k to eliminate the interference of other channel responses in the channel response of each UE.

Specifically, after obtaining the received signal Y, in the first round of estimation, the base station estimates the to-be-detected channel response of the UE with sequence number k=1; When estimating, it is necessary to eliminate the influence of the to-be-detected channel response of the UE with sequence number k=1; when estimating the to-be-detected channel response of the UE with sequence number k=3, it is necessary to eliminate the influence of the sequence number k=1 and the sequence number k The to-be-detected channel response of the UE with =2 affects it; and so on.

At the same time, after the base station performs the first round of estimation on each UE, in the second round of estimation process, when performing the second round of estimation on each UE in turn, it is necessary to eliminate all UEs except its own UE from the first round of estimation. The channel response to be detected is affected by the second estimation; in the third round of estimation, when performing the third round of estimation on each UE in turn, it is necessary to eliminate the second round of estimation for each UE except its own UE. The channel response to be detected affects it; and so on.

Exemplarily, for the first round of estimation, the following formula (2-1) is used to obtain the frequency domain channel response H _{1,lsk of} each UE. The formula (2-1) is specifically:

Among them, H _1,rebi represents the frequency domain channel response of each UE in the first round of estimation, k represents the identifier for numbering each UE, and _Sk ^* represents the conjugate of _Sk.

For the Nth (N is not equal to 1) round of estimation, the following formula (2-2) is used to obtain the channel response H _{N,lsk of} each UE. The formula (2-2) is specifically:

Among them, m represents the number of pilot signals sent to the base station, and k≤m, H _{N-1, rebi} represents the frequency domain channel response of each UE in the N-1th round of estimation, and N represents the response to each UE. the number of wheels being estimated, S _k ^* S _k denotes the conjugate.

Step S203, the base station performs an inverse discrete fourier transform (IDFT) on the obtained frequency-domain channel response H _{N,lsk to obtain a time-domain channel response h N,lsk} .

_{Wherein, the base station performs IDFT on the frequency domain channel response H N,lsk} through the following formula (3) to obtain the time domain channel response h _N,lsk , and formula (3) is specifically:

h _N,lsk =IDFT(H _N,lsk ). (3)

Step S204, the base station performs nonlinear reconstruction on the obtained time-domain channel response h _N,lsk to obtain a reconstructed time-domain channel response h _N,rebk .

Specifically, after obtaining the time domain channel response h _N,lsk , the base station reconstructs the waveform of the time domain channel response h _N,lsk , and the variable is described as h _N,rebk . The purpose is that for interference cancellation, it is necessary to add a nonlinear processing process in each iteration process, so that h _N,rebk after the nonlinear processing process is closer to the real than h _{N,lsk .} channel response.

Step S205, the base station performs Fourier transform (discrete fourier transform, DFT) on the obtained time-domain channel response h _{N,rebk to obtain the frequency-domain channel response H N,rebk} .

Wherein, the base station performs DFT on the time-domain channel response h _N,rebk through the following formula (4) to obtain the frequency-domain channel response H _N,rebk , and formula (4) is specifically:

H _N,rebk =DFT(h _N,rebk ). (4)

Step S206, the base station determines whether the frequency domain channel response H _N,rebk obtained at this time is the channel response of the last UE to be sorted, and if so, executes step S207; if not, executes step S202.

Wherein, in the process of cyclically calculating the frequency domain channel response H _{N,rebk of the} UE from step S202 to step S206, it is determined in step S206 that the frequency domain channel response H _N,rebk obtained at this time is not the channel response of the last UE to be sorted , let k=k+1, and _{input the frequency domain channel response H N,rebk} of each UE obtained before into step S202, so as to calculate the frequency domain channel response H _{N,rebk of the UE with the next sequence number} .

Step S207, the base station determines whether the _{number of estimated rounds performed by the frequency domain channel response H N,rebk} obtained at this time is the set round threshold D. If yes, it indicates that the frequency domain channel response H _{N obtained at this time, the} number of estimated rounds performed by rebk is the channel response of the last sorted UE obtained by the last round of iteration, and step S208 is performed; if not, it indicates that _{The frequency domain channel response H N, the} number of estimation rounds performed by rebk obtained at this time is not the channel response of the last sorted UE obtained by the last round of iteration, and step S202 is executed.

Wherein, in the process of cyclically calculating the frequency domain channel response H _{N,rebk of the} UE from step S202 to step S207, it is determined in step S207 that the frequency domain channel response H _N,rebk obtained at this time is not obtained through the last round of iteration. When the channel response of the last UE is sorted, let N=N+1 and k=1, and _{input the frequency domain channel response H N,rebk} of each UE obtained in this round into step S202, so as to calculate The frequency domain channel response of the UE in the next round is H _N,rebk .

Step S208, the base station takes the frequency domain channel response H _N,rebk of each UE in the last round of iterative processing as the final channel response of each UE. Wherein the finally obtained channel responses for each UE last time a cancellation channel responses obtained, followed by _{H N, reb1, H N,} reb2 ...... H N, rebk.

The present application processes the acquired received signal through the basic cancellation framework, that is, through the received signal, calculates the estimated channel response value of each UE, and then cancels the previously determined channel response estimated value interference of the UE, and then Through multiple rounds of iterative decrement processing, the interference of the estimated value of the channel response of the UE other than itself in the previous round of estimation is cancelled, so that the channel response to each UE is infinitely close to the real value. For different communication system transmission channels, the purpose of identifying the detected channel response is different. Taking the pilot of the DMRS uplink service channel as an example, after identifying the channel response of each terminal, it is conducive to the equalization processing of the physical layer and improves the service quality of the uplink service; taking the SRS sounding signal pilot as an example, identifying the SRS of each terminal After the channel responds, it is beneficial to the uplink synchronization quality and the downlink weight transmission quality, thereby improving the uplink and downlink system capacity.

In the above-mentioned Embodiment 1, it is mentioned that the base station _{performs nonlinear reconstruction on the obtained time-domain channel response h N,lsk} to obtain the frequency-domain channel response h _N,rebk . In the embodiment of the present application, the adopted nonlinear reconstruction mainly includes three reconstruction schemes: basic nonlinear reconstruction, high-speed sampling, and new waveform. The following describes how these three schemes _{reconstruct and transform the channel response h N,lsk} to obtain the frequency domain channel response h _N,rebk :

1. Basic nonlinear reconstruction scheme

(1) shown in Figure 3, according to the channel response h _N sequence length L _sc received non-orthogonal pilot pilot signal S _k and a pilot signal _{corresponding} to the length of the waveform _lsk L, configuration The domain envelope function w, the specific formula is:

Wherein, l represents the time domain channel response h _{N, lsk} sample point number, L _SC represents a non-orthogonal pilot pilot sequence length of the signal S _k is, L represents the time domain channel response h _N, the length of the waveform _LSK of .

(2) Through the preset threshold Thr, _{select the position tap i} with stronger power on the waveform of the _{time domain channel response h N, lsk} , and then construct the envelope waveform matrix. The specific formula is:

Among them, tapi represents the position of the sample point with strong power, i ₁ and i ₂ represent the number index of the sample point with strong power, and I represents the number of sample points with strong power.

In addition, a vector with a dimension of I*1 is formed by extracting the position of a sample point with strong power from the time-domain channel response h _{N,lsk , which is expressed as h N,lsk,tap} .

(3) Calculate the reconstructed channel response by inverting the matrix

Specifically:

(4) By using the reconstructed channel response

and the time-domain envelope function w to reconstruct the time-domain channel response h _N,rebk , specifically:

Among them, i represents the number index of the sample point, and _{the physical meaning of circshift(w, tap i} ) is to cyclically shift the waveform of the envelope function w to the right by tap _i samples.

2. High-speed sampling scheme

(1) Oversampling the oversamping (oversamp) sample points on the waveform of the frequency domain channel response H _N,lsk , the oversamp method is to fill zeros in the frequency domain, so as to respond to the frequency domain channel H _N,lsk The waveform length of H N,lsk It is expanded to an oversamp multiple of the original number of samples by zero-filling at the tail, and then IDFT is used to obtain _{the waveform of the time-domain channel response h N,lsk} , and the number of dimension points on the waveform is N _ovsamp .

(2) According to formulas (3), (5), (6), (7) and (8), after calculating the reconstructed frequency domain channel response h _{N,rebk,ovsamp} , the time domain channel response h _{N,rebk ,} The waveform of ovsamp is extracted from oversamp samples to obtain the time-domain channel response h _N,rebk . The specific calculation formula is as follows:

h _N,rebk =h _{N,rebk,ovsamp} (1:oversamp:N _ovsamp ); (9)

Among them, oversamp represents the number of oversamp samples, and N _ovsamp represents the number of dimension points of the waveform of the time-domain channel response h _N,lsk.

3. New waveform scheme

(1) based on the received non-orthogonal pilot pilot time-domain channel sequence length of the signal S _k of L _sc and the pilot signal corresponding response h _N, the envelope length of the waveform _lsk of L, the design domain function w _p.

Illustratively, as shown in FIG. 4, the specific design of the envelope function w _p as follows:

Step S401, specifying the time-domain waveform envelope function y of each time delay extension;

_{Step S402, obtain the initial envelope function w 0} by constructing the time domain envelope function w in the formula (5);

Step S403: Substitute the obtained envelope function into formula (10), and calculate to obtain 2 sample point coefficients; wherein, formula (10) is:

Among them, x represents the sample coefficient, and y represents the time-domain waveform envelope function of each delay extension.

Step S404, according to the obtained 2 sample point coefficients, substitute into formula (10), and calculate and obtain the updated reconstructed waveform w _p ; wherein, formula (11) is:

where x _F is the matrix expansion of x.

Step S405, determine whether the p value is equal to the set threshold, if it is equal, go to step S406; if not, set p=p+1, then go to step S403;

Wherein, in the process of cyclically calculating the waveform w _p from step S403 to step S405, when it is determined in step S405 that _p in the waveform w p obtained at this time is not equal to the threshold value, let p=p+1, and use the obtained waveform w _{p is} input in step S402 to calculate the next waveform w _p .

In step S406, the optimal reconstructed waveform w _p under consideration of different delay spreads is obtained.

(2) After the reconstructed waveform w _{p is obtained, the reconstructed time-domain channel response h N,rebk is} obtained according to formulas (6)-(8).

In the embodiment of the present application, after obtaining the time-domain channel response _hN,lsk , the base station adopts any one of the above three nonlinear reconstruction schemes to _{perform nonlinear processing on the time-domain channel response hN,lsk} to obtain the frequency-domain channel response hN,lsk. The channel response h _N,rebk makes the channel response of each UE detected by the base station closer to the real value.

The solution of Embodiment 1 is described below through a specific example. At this time, it is specified that three UEs send pilot signals to the base station (that is, m=3), and the channel response of each UE through two rounds of iterative processing is sufficient (that is, N=2).

After the base station receives the pilot signals sent by the three UEs, in the first round of cancellation processing:

(1) Carry out preliminary estimation for UE 1, obtain by formula (2-1) in step S202:

_{Then, the frequency domain channel response H 1,reb1 is} obtained by formulas (3)-(11) in step S203-step S205; since k<m at this time, it is necessary to loop into step S202 to detect the channel response of UE2.

(2) Preliminary estimation for UE 2, through formula (2-1) in step S202 and the frequency domain channel response H _1,reb1 obtained in the first cycle, to obtain:

_{Then, the frequency domain channel response H 1,reb2 is} obtained through formulas (3)-(11) in step S203-step S205; since k<m at this time, it is necessary to loop into step S202 to detect the channel response of UE3.

(3) a preliminary estimate for the UE3, in step S202 by the formula (2-2), the first cycle obtained by frequency-domain channel response _{H 1,} reb1 and frequency domain channel response to obtain second cycle _{H 1, reb2,} get:

_{Then, the frequency domain channel response H 1,reb3 is} obtained by formulas (5)-(11) in step S203-step S205; since k=m at this time, but N<2 at this time, it is necessary to loop into step S202 to detect The channel response of UE1's second round of estimation.

During the cancellation process in the second round:

(1) Perform the second round of estimation for UE 1, use formula (2-2) in step S202, the frequency domain channel response H _{1, reb2 obtained} from the second round of estimation in the first round of estimation and the first round of estimation The frequency domain channel response H _1,reb3 obtained by the third cycle in , we get:

_{Then, the frequency domain channel response H 2,reb1 is} obtained through formulas (3)-(11) in steps S203-step S205; since k<m at this time, it is necessary to loop into step S202 to detect the channel estimated by UE2 in the second round of estimation response.

(2) The second round of estimation is performed for UE 2, and the frequency domain channel response H 1,reb1 obtained in the first round of estimation through formula (3) in step S202, the frequency domain channel response H _{1,reb1 obtained in the} first round of estimation and the The frequency domain channel response H _1,reb3 obtained after three cycles, we get:

_{Then, the frequency domain channel response H 2,reb2 is} obtained by formulas (3)-(11) in step S203-step S205; since k<m at this time, it is necessary to loop into step S202 to detect the channel estimated by UE3 in the second round response.

(3) The second round of estimation is performed for UE 3, using formula (3) in step S202, the frequency domain channel response H _{1,reb1 obtained in the} first round of estimation in the first round of estimation and the first round of estimation The frequency domain channel response H _1,reb2 obtained by the second cycle is obtained:

_{Then, the frequency domain channel response H 2,reb3 is} obtained by formulas (3)-(11) in step S203-step S205; since k=m and N=2 at this time, it is not necessary to loop into step S202, and the last The H _2,reb1 , H _2,reb2 and H _{2,reb3 estimated in rounds are} used as the final channel responses of each UE.

Embodiment 2

FIG. 5 is a flowchart of processing a received signal through a residual cancellation framework to obtain a channel response of each UE according to an embodiment of the present application. As shown in Figure 5, the specific implementation process of the base station is as follows:

Step S501, the base station receives a pilot signal sent by at least one UE.

Specifically, after receiving the pilot signals sent by the multiple UEs, the base station numbers the multiple UEs, and defines the pilot signal sent by the UE k as Sk. In addition, the historical channel response of each UE is defined as H _histk , and it is specified to be set to 0 in the initial iteration.

Step S502, the base station estimates the channel response of each UE, and eliminates the interference of other channel responses in the channel response of each UE.

Specifically, the signal Y at this time no longer represents the received signal of the frequency domain signal, but represents the remaining un-cancelled residual signal Y with each iteration of the cancellation process. When each UE performs channel estimation in sequence, it will estimate the residual signal Y and the pilot signal and add the historical channel response H _{histk of the} previous round of reconstruction. After the estimation is completed, the estimated pilot signal will continue. Subtract from Y, so as to continue to estimate the next UE; after completing the estimation of the channel responses of all UEs in one round, perform the next round of user estimation; and so on.

Exemplarily, when estimating each UE, the following formula (12) is used to calculate the channel response H _{1,lsk of} each UE. The formula (12) is specifically:

Among them, k represents the sequence number for numbering each UE, N is the number of rounds of iterative estimation of the channel response of each UE by the base station, H _{N, lsk} represents the channel response to be detected of the UE in the Nth round of estimation, Y _N,lsk represents the residual result in the estimation process of the kth user in the Nth round, H _N-1,histk represents the historical channel response of the UE in the N- _{1th round of estimation, H 0,histk} =0 .

Step S503, the base station performs IDFT on the obtained channel _{response H N,lsk of each UE to obtain the channel response h N,lsk} . _{The base station performs IDFT on the channel response H N,lsk} by formula (3) to obtain the channel response h _N,lsk .

Step S504, the base station _{performs nonlinear reconstruction on the obtained channel responses H N,lsk} of each UE to obtain frequency domain channel responses h _N,rebk . Wherein, the manner in which the base station _{performs nonlinear reconstruction on H N,lsk} may be any one of the implementation manners in the above-mentioned Embodiment 1 "basic nonlinear reconstruction scheme, high-speed sampling scheme and new waveform scheme". The specific implementation process is detailed in See the above-mentioned FIG. 3-FIG. 4 and the corresponding description contents, which will not be repeated in this application.

Step S505, the base station performs DFT on the obtained frequency domain channel _{responses h N,rebk of each UE to obtain the frequency domain channel responses H N,rebk} . Wherein, the base station performs DFT on the frequency domain channel response h _N,rebk according to formula (4) to obtain the frequency domain channel response H _N,rebk .

Step S506, the base station determines whether the _{number of estimated rounds performed by the frequency domain channel response H N,rebk} obtained at this time is the set round threshold D. _{If not, it indicates that the estimated number of rounds of the frequency domain channel response H N, rebk} obtained at this time is not the channel response of each UE obtained by the last round of iteration, and step S507 is performed; The number of estimation rounds performed by the frequency domain channel response H _N,rebk is the channel response of each UE obtained by the last round of iteration, and step S510 is executed.

Step S507, the base station calculates the residual err of the channel response according to the obtained frequency domain channel response H _{N,rebk of the UE k.}

Specifically, the base station calculates the residual err of the channel response of each UE through formula (13), and formula (13) is specifically:

err _N,k =H _N,rebk -H _N-1,histk . (13)

_{Step S508, the base station updates the received signal Y N,k} according to the obtained residual err of the channel response of each UE.

Specifically, when the iterative process is in the process of adding user k, the base station updates the received signal Y _N through formula (14-1), and formula (14-1) is specifically:

_{Y N, k + 1 = Y} N, k -S k err N, k. (14-1)

When the iterative process is in the iterative round N increasing process, k has accumulated to the m position at this time, and the base station updates the received signal Y _N through formula (14-2), and formula (14-2) is specifically:

Y _N+1,1 = Y _N,m -S _m err _N,m . (14-2)

Step S509, the base station updates the historical channel response of each UE to H _N,histk , and then performs step S502.

Specifically, the base station updates the historical channel response of each UE as H _N,histk through formula (15), and formula (15) is specifically:

H _N,histk =H _N,rebk . (15)

The order of updating the received signal Y _N in step S508 and updating the historical channel response of each UE to H _{N in} step S509 is not limited.

Step S510, the base station takes the frequency domain channel response H _N,rebk of each UE in the last round of iterative processing as the final channel response of each UE. Wherein the finally obtained channel responses for each UE last time a cancellation channel responses obtained, followed by _{H N, reb1, H N,} reb2 ...... H N, rebk.

The present application processes the received signal through the residual cancellation framework, that is, through the received signal, calculates the residual of each UE and the differential signal of each UE in turn, and then combines the historical channel responses of each UE to calculate The estimated value of the channel response of each UE is finally processed through multiple rounds of iterative incremental processing, and the estimated value of each UE in the previous round is superimposed, so that the channel response to each UE is infinitely close to the real value.

The solution of the second embodiment is described below through a specific example. At this time, it is specified that three UEs send pilot signals to the base station (ie, m=3), and the channel response of each UE through two rounds of iterative processing is sufficient (ie, N=2).

After the base station receives the pilot signals sent by the three UEs, in the first round of cancellation processing:

Wherein, let H _0,reb1 =0, H _0,reb2 =0, H _0,reb3 =0, that is, H _0,hist1 =0, H _0,hist2 =0, H _0,hist3 =0.

_{Then, the frequency domain channel responses H 1,reb1} , H _1,reb2 and H _1,reb3 are obtained by formulas (3)-(11) in steps S503-step S505; since N<2 at this time, it is necessary to loop into step S502 , and detect the channel response of each UE in the second round of estimation.

At this time, according to formula (13), the residual err of the channel response of each UE is calculated as:

err _1,1 =H _1,reb1 -H _0,hist1 =H _1,reb1

err _1,2 =H _1,reb2 -H _0,hist2 =H _1,reb2

err _1,3 =H _1,reb3 -H _0,hist3 =H _1,reb3

According to the residual err obtained from the channel response of each UE, the received signal Y _{2,1 is updated according to the formula (14-2), and the received signals Y 2,2} and Y _{2,3 are} updated according to the formula (14-1) to obtain:

Y _2,1 =Y _1,3 -S ₃ err _1,3

Y _2,2 = Y _2,1 -S ₁ err _2,1

Y _2,3 =Y _2,2 -S ₂ err _2,2

According to formula (15), update the historical channel response H _{N of} each UE, histk is:

H _1,hist1 =H _1,reb1

H _1,hist2 =H _1,reb2

H _1,hist3 =H _1,reb3

During the cancellation process in the second round:

_{Then, the frequency domain channel responses H 2,reb1} , H _2,reb2 and H _2reb3 are obtained by formulas (3)-(11) in steps S503-step S505; since N=2 at this time, there is no need to loop into step S502, _{The H 2,reb1} , H _2,reb2 and H _2,reb3 estimated in the last round are directly used as the final channel response of each UE.

An example of a detection method performed by the base station side provided by the present application is described in detail above. It can be understood that, in order to realize the above-mentioned functions, the detection apparatus includes corresponding hardware structures and/or software modules for performing each function. Those skilled in the art should easily realize that the present application can be implemented in hardware or a combination of hardware and computer software with the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein. Whether a function is performed by hardware or computer software driven hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

The present application can divide the functional units of the detection device according to the above method examples. For example, each function can be divided into each functional unit, or two or more functions can be integrated into one processing unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units. It should be noted that the division of units in this application is schematic, and is only a logical function division, and other division methods may be used in actual implementation.

For example, the detection device 600 shown in FIG. 6 includes a transceiver unit 601 and a processing unit 602 .

In an embodiment of the present application, the detection apparatus 600 is configured to support the base station to implement the functions of the base station in the detection method provided by the embodiment of the present application, for example, the transceiver unit 601 is configured to receive pilot signals sent by each of m user equipments UE; The processing unit 602 is configured to determine the received signal according to the pilot signals respectively sent by the m user equipment UEs and the channel responses to be detected of the m UEs, where m is a positive integer greater than 1; according to the pilot signals of the m UEs. frequency signal and the received signal, determine the estimated value of the channel response to be detected of each UE under each round of estimation in the D round; determine the detection result, the detection result is the channel response to be detected of each UE in the first The estimated value under D rounds of estimation, where D is a positive integer greater than 1. For the specific implementation of how the base station detects the channel response of each UE after receiving pilot signals sent by multiple UEs, you can refer to some embodiments of the method in this application, such as the relevant content in the embodiments shown in FIG. 2 to FIG. 5 . , without further elaboration.

In a possible implementation, when the channel responses to be detected of the UE are estimated in the Nth round, the N is a positive integer, and N=1; the processing unit 602 is configured to use the pilot signals of the m UEs according to the and the received signal, to determine the estimated value of the channel response to be detected of the first UE under the first round of estimation; or based on the pilot signals of the m UEs, the received signal and the priori Determine the channel response of the UE, determine the estimated value of the channel response to be detected of each UE under the first round of estimation, where the channel response of the kth UE that needs to be cancelled previously determined UE It includes the estimated values of the channel responses to be detected of the 1st to k-1th UEs under the first round of estimation, where k is a positive integer, and 1<k≤m. For the specific implementation of how to determine the estimated value of the channel response to be detected of each UE under the first round of estimation, reference may be made to some embodiments of the method in this application, such as the relevant content in the embodiment shown in FIG. 2 , which will not be repeated. .

In a possible implementation manner, when the channel response to be detected of the UE is estimated in the Nth round, the N is a positive integer, and 1<N≤D, and the processing unit 602 is configured to perform the estimation according to the results of the m UEs. frequency signal, the received signal and the previously determined channel response of the UE that needs to be canceled, and determine the estimated value of the channel response to be detected of each UE under the Nth round of estimation, wherein the channel response to be canceled is determined. The previously determined channel responses of the UEs include the estimated values of the channel responses to be detected of the other m-1 UEs under the N-1th round of estimation. For the specific implementation of how to determine the estimated value of the channel response to be detected of each UE under the Nth round of estimation, reference may be made to some embodiments of the method in this application, such as the relevant content in the embodiment shown in FIG. 2 , which will not be repeated. .

In a possible implementation, the processing unit 602 is configured to determine, according to the pilot signals of the m UEs, the differential signals of the m UEs, and the historical channel responses of the m UEs, the to-be-detected signal of each UE The estimated value of the channel response under the Nth round of estimation; the estimated value of the channel response to be detected of each UE under the Nth round of estimation is determined in order, and the differential signal is the received signal, which is determined by the The received signal, the pilot signal of the previous UE, the signal determined by the residual of the previous UE, the differential signal of the previous UE, the pilot signal of the previous UE, and the residual of the previous UE. The residual is the difference between the estimated value of the UE's channel response to be detected in the Nth round of estimation and the historical channel response in the Nth round of estimation, and the historical channel response is The estimated value of the to-be-detected channel response of the UE under N-1 rounds of estimation, where N is a positive integer, and 1≤N≤D. For the specific implementation of how to determine the estimated value of the channel response to be detected of each UE under the Nth round of estimation, reference may be made to some embodiments of the method in this application, such as the relevant content in the embodiment shown in FIG. 5 , which will not be repeated. .

In a possible implementation manner, the processing unit 602 is configured to determine the residual error under the N+1th round of estimation of the kth UE, and the residual error under the N+1th round of estimation of the kth UE is: Obtained by subtracting the estimated value of the channel response to be detected of the kth UE under the Nth round of estimation minus the historical channel response of the kth UE under the Nth round of estimation, where k is positive Integer, and 1≤k≤m. For the specific implementation of how to determine the residual error under the N+1 round estimation of the kth UE, reference may be made to some embodiments of the method in this application, such as the relevant content in the embodiment shown in FIG. 5 , which will not be repeated.

In a possible implementation manner, the processing unit 602 is configured to determine differential information of the k+1 th UE, where the differential information of the k+1 th UE is obtained by subtracting the differential information of the k th UE from the obtained by multiplying the pilot signal of the kth UE and the residual of the kth UE. For a specific implementation manner of how to determine the difference information of the k+1th UE, reference may be made to some embodiments of the method of the present application, such as the relevant content in the embodiment shown in FIG. 5 , which will not be repeated.

In a possible implementation, the processing unit 602 is configured to determine the historical channel responses under the N+1 rounds of estimation of the m UEs, and the historical channel responses under the N+1 rounds of estimation of the m UEs are: The estimated value of the to-be-detected channel responses of the m UEs under the Nth round of estimation. For the specific implementation of how to determine the historical channel responses under the N+1 rounds of estimation of the m UEs, reference may be made to some embodiments of the method in this application, such as the relevant content in the embodiment shown in FIG. 5 , which will not be repeated.

In a possible implementation manner, the processing unit 602 is configured to perform inverse Fourier transform IDFT on the obtained estimated value of the channel response to be detected of each UE under each round of estimation in round D, to obtain the first time domain estimated value; the estimated value of the to-be-detected channel response of each UE under each round of estimation in the D round is the first frequency domain estimated value; the first time domain estimated value is nonlinearly reconstructed to obtain second time-domain estimated value; performing Fourier transform DFT on the second time-domain estimated value to obtain a second frequency-domain estimated value. For the specific implementation of how to convert the first frequency domain estimated value into the second frequency domain estimated value, reference may be made to some embodiments of the method of the present application, such as the relevant content in the embodiments shown in FIG. 2 to FIG.

In a possible implementation, the processing unit 602 is configured to construct the envelope according to the sequence length of the pilot signal of each UE and the length of the waveform of the first time-domain estimated value of the channel response to be detected of each UE function; through the set threshold, a position with stronger power is selected on the waveform of the first time-domain estimated value of the channel response to be detected of each UE, and an envelope waveform matrix is constructed; The method of matrix inversion is used to calculate the third time domain estimated value of the channel response to be detected of each UE; through the third time domain estimated value of the channel response to be detected of each UE and the envelope function , and calculate the second time-domain estimated value. For the specific implementation of how to perform nonlinear reconstruction on the first time-domain estimated value to obtain the second time-domain estimated value, reference may be made to some embodiments of the method of the present application, such as the related information in the embodiments shown in FIG. 3 to FIG. 4 . The content will not be repeated.

FIG. 7 shows a schematic structural diagram of a detection device 700 provided by the present application. The detection apparatus 700 may be used to implement the detection method performed by the base station side described in the foregoing method embodiments. The detection apparatus 700 may be a chip, a terminal, a base station, or other wireless communication equipment.

The detection apparatus 700 includes one or more processors 701, and the one or more processors 701 can support the detection apparatus 600 to implement the detection method performed by the base station described in the embodiments of this application, for example, as shown in FIG. 2 to FIG. 5 . A method performed by a base station in an embodiment.

The processor 701 may be a general purpose processor or a special purpose processor. For example, the processor 701 may include a central processing unit (CPU) and/or a baseband processor. The baseband processor may be used to process communication data (eg, the first message described above), and the CPU may be used to implement corresponding control and processing functions, execute software programs, and process data of software programs.

Further, the detection apparatus 700 may further include a transceiving unit 705 to implement signal input (reception) and output (send).

For example, the detection apparatus 700 may be a chip, and the transceiver unit 705 may be an input and/or output circuit of the chip, or the transceiver unit 705 may be an interface circuit of the chip, and the chip may be used as a component of a base station or other wireless communication equipment .

For another example, the detection apparatus 700 may be a base station. The transceiver unit 705 may include a transceiver or a radio frequency chip. Transceiver unit 705 may also include a communication interface.

Optionally, the detection apparatus 700 may further include an antenna 706 , which may be used to support the transceiver unit 705 to implement the transceiver function of the detection apparatus 700 .

Optionally, the detection apparatus 700 may include one or more memories 702 on which programs (or instructions or codes) 703 are stored, and the programs 703 may be executed by the processor 701, so that the processor 701 executes the foregoing method embodiments method described in . Optionally, data may also be stored in the memory 702 . Optionally, the processor 701 can also read data (eg, predefined information) stored in the memory 702, the data can be stored in the same storage address as the program 703, and the data can also be stored in a different address from the program 703 storage address.

The processor 701 and the memory 702 can be provided separately, or can be integrated together, for example, integrated on a single board or a system on chip (system on chip, SOC).

In a possible design, the detection apparatus 700 is a base station or a chip that can be used for access network equipment. For example, the transceiver unit 705 is configured to receive pilot signals sent by m user equipment UEs respectively; the processor 701 is configured to determine the reception based on the pilot signals sent by m user equipment UEs and the channel responses to be detected of the m UEs. signal, the m is a positive integer greater than 1; according to the pilot signals of the m UEs and the received signal, determine the estimated value of the to-be-detected channel response of each UE under each round of estimation in the D rounds ; determine a detection result, where the detection result is an estimated value of the channel response to be detected of each UE under the D-th round of estimation, where D is a positive integer greater than 1.

For the detailed description of the operations performed by the detection apparatus 700 in the above-mentioned various possible designs, reference may be made to the behavior of the base station in the embodiment of the detection method provided by this application, for example, the related content in the embodiments shown in FIG. 2-FIG. Do repeat.

It should be understood that, the steps in the above method embodiments may be implemented by logic circuits in the form of hardware or instructions in the form of software in the processor 701 . The processor 701 may be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices , for example, discrete gates, transistor logic devices, or discrete hardware components.

In the case where the detection apparatus 600 is a base station, FIG. 8 is a schematic structural diagram of a base station provided by an embodiment of the present application. As shown in FIG. 8 , the functions of the network device in the detection method embodiments corresponding to FIG. 2 to FIG. 5 are performed. Base station 800 may include one or more DUs 801 and one or more CUs 802. The DU 801 may include at least one antenna 8011, at least one radio frequency unit 8012, at least one processor 8013 and at least one memory 8014. The DU 801 part is mainly used for the transmission and reception of radio frequency signals, the conversion of radio frequency signals and baseband signals, and part of baseband processing. CU 802 may include at least one processor 8022 and at least one memory 8021. The CU 802 and the DU 801 can communicate through interfaces, wherein the control plane interface can be Fs-C, such as F1-C, and the user plane interface can be Fs-U, such as F1-U .

The CU 802 part is mainly used to perform baseband processing, control the base station, and the like. The DU 801 and the CU 802 may be physically set together, or may be physically set apart, that is, a distributed base station. The CU 802 is the control center of the base station, which can also be called a processing unit, and is mainly used to complete the baseband processing function. For example, the CU 802 may be used to control the base station to perform the operation procedures related to the network device in the foregoing method embodiments.

Specifically, the baseband processing on the CU and DU can be divided according to the protocol layers of the wireless network. For example, the functions of the packet data convergence layer protocol (PDCP) layer and above are set in the protocol layers below the CU and PDCP. For example, functions such as a radio link control (radio link control, RLC) layer and a media access control (media access control, MAC) layer are set in the DU. For another example, CU implements functions of radio resource control (radio resource control, RRC) and packet data convergence protocol (PDCP) layer, DU implements radio link control (radio link control, RLC), media access Control (media access control, MAC) and physical (physical, PHY) layer functions.

Furthermore, optionally, the base station 800 may include one or more radio frequency units (RUs), one or more DUs, and one or more CUs. The DU may include at least one processor 8013 and at least one memory 8014 , the RU may include at least one antenna 8011 and at least one radio frequency unit 8012 , and the CU may include at least one processor 8022 and at least one memory 8021 .

In an example, the CU802 may be composed of one or more single boards, and multiple single boards may jointly support a wireless access network (such as a 5G network) with a single access indication, or may respectively support wireless access systems of different access standards. Access network (such as LTE network, 5G network or other network). The memory 8021 and the processor 8022 may serve one or more single boards. That is to say, the memory and processor can be provided separately on each single board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits may also be provided on each single board. The DU 801 can be composed of one or more single boards, and multiple single boards can jointly support a wireless access network (such as a 5G network) with a single access indication, or can respectively support a wireless access network with different access standards ( Such as LTE network, 5G network or other network). The memory 8014 and processor 8013 may serve one or more single boards. That is, the memory and processor can be set individually on each board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits may also be provided on each single board.

The DU and the CU may jointly perform the function of the processor 602 in the detection apparatus 600 shown in FIG. 6 or the function of the processor 701 in the detection apparatus 700 shown in FIG. 7 , which will not be described in detail.

Those skilled in the art can clearly understand that the descriptions of the embodiments provided in the present application can be referred to each other for convenience and brevity of the description, for example, regarding the functions and execution steps of the devices and devices provided in the embodiments of the present application Reference may be made to the relevant descriptions of the method embodiments of the present application, and mutual reference, combination or reference may also be made between the method embodiments and the device embodiments.

In the several embodiments provided in this application, the disclosed systems, devices and methods may be implemented in other manners. For example, some features of the method embodiments described above may be omitted, or not implemented. The apparatus embodiments described above are only illustrative, and the division of units is only a logical function division. In actual implementation, there may be other division methods, and multiple units or components may be combined or integrated into another system. In addition, the coupling between the various units or the coupling between the various components may be direct coupling or indirect coupling, and the above-mentioned coupling includes electrical, mechanical or other forms of connection.

It should be understood that, in the various embodiments of the present application, the size of the sequence numbers of each process does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and inherent logic, rather than the embodiments of the present application. implementation constitutes any limitation. In addition, in the embodiments of the present application, the terminal and/or the network device may perform some or all of the steps in the embodiments of the present application, these steps or operations are only examples, and the embodiments of the present application may also perform other operations or variations of various operations . In addition, various steps may be performed in different orders presented in the embodiments of the present application, and may not be required to perform all the operations in the embodiments of the present application.

Claims (16)

1. A detection method, the method being performed by a network device, characterized in that it includes:

   Determine the received signal according to the pilot signals sent by the m user equipment UEs and the to-be-detected channel responses of the m UEs, where m is a positive integer greater than 1;

   According to the pilot signals of the m UEs and the received signals, determine the estimated value of the channel response to be detected of each UE under each round of estimation in the D rounds;

   A detection result is determined, where the detection result is an estimated value of the to-be-detected channel response of each UE under the D-th round of estimation, where D is a positive integer greater than 1.
2. The method according to claim 1, wherein when the channel response to be detected of the UE is estimated in the Nth round, the N is a positive integer, and N=1;

   The determining the estimated value of the channel response to be detected of each UE under the first round of estimation according to the pilot signals of the m UEs and the received signal, including:

   Determine the estimated value of the channel response to be detected of the first UE under the first round of estimation according to the pilot signals of the m UEs and the received signal; or

   Determine the estimated value of the to-be-detected channel response of each UE under the first round of estimation according to the pilot signals of the m UEs, the received signals, and the previously determined channel responses of the UEs that need to be cancelled, Wherein, the previously determined channel responses of the kth UE that need to be canceled include the estimated values of the to-be-detected channel responses of the 1st to k-1th UEs under the first round of estimation, and the k is a positive integer, and 1<k≤m.
3. The method according to claim 1, wherein when the channel response to be detected of the UE is estimated in the Nth round, the N is a positive integer, and 1<N≤D;

   The determining the estimated value of the channel response to be detected of each UE under the Nth round of estimation according to the pilot signals of the m UEs and the received signal, including:

   According to the pilot signals of the m UEs, the received signals and the previously determined channel responses of the UEs that need to be cancelled, determine the estimated value of the channel response to be detected of each UE under the Nth round of estimation, Wherein, the previously determined channel responses of the UEs that need to be cancelled include the estimated values of the channel responses to be detected of the other m-1 UEs under the N-1th round of estimation.
4. The method according to any one of claims 2-3, wherein the processing method for determining the estimated value of the channel response to be detected of each UE under the first round of estimation is specifically:

   

   Wherein, H _1,rebi represents the estimated value of the channel response to be detected of each UE determined first in the first round of estimation, k represents the identifier for numbering each UE, and _Sk ^* represents the conjugate of _Sk;

   The processing method for determining the estimated value of the channel response to be detected of each UE under the n>1th round of estimation is specifically:

   

   Among them, m represents the number of received pilot signals, and k≤m, H _{N-1, rebi} represents the estimated value of the channel response to be detected of each UE under the N-1th round of estimation, and N represents for each UE The number of rounds that are being estimated, _Sk ^* denotes the conjugate of _Sk.
5. The method according to claim 1, wherein the determining, according to the pilot signals of the m UEs and the received signals, the to-be-detected channel response of each UE is estimated under each round of D rounds estimates, including:

   According to the pilot signals of the m UEs, the differential signals of the m UEs, and the historical channel responses of the m UEs, determine the estimated value of the channel response to be detected of each UE under the Nth round of estimation; The estimated value of the to-be-detected channel response of each UE under the Nth round of estimation is determined in order, and the differential signal is the received signal, the received signal, the pilot signal of the previous UE, and the received signal. The signal determined by the residual of the previous UE and the differential signal of the previous UE, the pilot signal of the previous UE and the signal determined by the residual of the previous UE, the residual is the UE's pending signal. The difference between the estimated value of the detected channel response under the Nth round of estimation and the historical channel response in the Nth round of estimation, where the historical channel response is the UE's channel response to be detected in the N-1 round The estimated value under the sub-estimation, the N is a positive integer, and 1≤N≤D.
6. The method according to claim 5, wherein the processing method of determining the estimated value of the channel response to be detected of each UE under multiple rounds of estimation is specifically:

   

   Among them, k represents the identifier for numbering each UE, N represents the number of rounds of estimation for each UE, Y _{N, lsk} represents the received signal of the kth UE in the Nth round of estimation, H _{N-1 ,rebk} represents the historical channel response of the kth UE in the N- _{1th round of estimation, H 0,rebk} =0.
7. The method according to any one of claims 5-6, wherein the method further comprises:

   Determine the residual under the N+1th round of estimation of the kth UE, and the residual under the N+1th round of estimation of the kth UE is obtained by comparing the channel response to be detected of the kth UE The estimated value under the Nth round of estimation is obtained by subtracting the historical channel response of the kth UE under the Nth round of estimation, where k is a positive integer and 1≤k≤m.
8. The method according to claim 7, wherein the method further comprises:

   Determine the differential information of the k+1th UE, where the differential information of the k+1th UE is obtained by subtracting the differential information of the kth UE from the pilot signal of the kth UE and the It is obtained by multiplying the residuals of k UEs.
9. The method according to any one of claims 5-6, wherein the method further comprises:

   Determine the historical channel responses under the N+1 rounds of estimation of the m UEs, and the historical channel responses under the N+1 rounds of estimation of the m UEs are the channel responses to be detected of the m UEs in the Nth Estimated value under round estimation.
10. The method according to any one of claims 1-9, characterized in that, in the step of determining the to-be-detected channel response of each UE according to the pilot signals of the m UEs and the received signal in the D round After each round of estimating the estimated value, the method further includes:

    Perform inverse Fourier transform IDFT on the estimated value of the obtained channel response to be detected of each UE under each round of estimation in the D round to obtain the first time domain estimated value; the channel response to be detected of each UE described The estimated value under each round of estimation in the D round is the first frequency domain estimated value;

    performing nonlinear reconstruction on the first time-domain estimated value to obtain a second time-domain estimated value;

    Fourier transform DFT is performed on the second time-domain estimated value to obtain a second frequency-domain estimated value.
11. The method according to claim 10, wherein the performing nonlinear reconstruction on the first time-domain estimated value to obtain a second time-domain estimated value, comprising:

    Construct an envelope function according to the sequence length of the pilot signal of each UE and the length of the waveform of the first time-domain estimated value of the channel response to be detected of each UE;

    Through the set threshold, a position with stronger power is selected on the waveform of the first time-domain estimated value of the channel response to be detected of each UE, and an envelope waveform matrix is constructed;

    Calculate the third time domain estimated value of the channel response to be detected of each UE by inverting the envelope waveform matrix;

    The second time-domain estimated value is calculated by using the third time-domain estimated value of the to-be-detected channel response of each UE and the envelope function.
12. A detection apparatus, comprising at least one processor, the processor is configured to execute instructions stored in a memory, so that a terminal executes the method according to any one of claims 1-11.
13. A communication device for performing the method of any of claims 1-11.
14. A computer-readable storage medium on which a computer program is stored, when the computer program is executed in a computer, the computer is made to perform the method of any one of claims 1-11.
15. A computing device, comprising a memory and a processor, wherein executable code is stored in the memory, and when the processor executes the executable code, the processor of any one of claims 1-11 is implemented. method.
16. A communication system includes a base station and at least one user equipment UE, wherein the base station is configured to perform the method according to any one of claims 1-11.

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