WO2017118111A1

WO2017118111A1 - Signal detection method and device

Info

Publication number: WO2017118111A1
Application number: PCT/CN2016/100085
Authority: WO
Inventors: 魏继东
Original assignee: 中兴通讯股份有限公司
Priority date: 2016-01-04
Filing date: 2016-09-26
Publication date: 2017-07-13
Also published as: CN106941462A

Abstract

Disclosed are a signal detection method and device which relate to the field of communications. The method comprises: acquiring channel estimation values of all antennas on each pilot frequency symbol; by performing frequency-time transformation on the acquired channel estimation values of all the antennas on each pilot frequency symbol, obtaining time-domain channel estimation values; using all the time-domain channel estimation values to perform time-domain peak value searching and acquiring a peak value parameter corresponding to a peak value; and according to the peak value parameter, detecting whether a sending end sends a signal.

Description

Signal detection method and device

Technical field

The present disclosure relates to the field of communications, for example, to a method and apparatus for signal detection.

Background technique

With the development of wireless communication technology, people pay more and more attention to the system's support capabilities, performance and speed indicators. In the communication process, taking the base station side as an example, there are often some abnormal situations, for example, the first message (Message, MSG1) virtual check, the terminal physical downlink control channel (Physical Downlink Control Channel, PDCCH) detection failure or system processing Factors such as timeout cause the terminal not to send a signal at the corresponding time-frequency domain location. In this case, if the base station has a dummy check signal, it needs to perform symbol level and bit level processing. The final Cyclic Redundancy Check (CRC) result is wrong, which will inevitably increase the processing delay of the system. At the same time, it will also provide the upper level with the wrong information, resulting in abnormal situations such as scheduling and power control. Similarly, if the terminal has transmitted data, but the base station misses detection, no signal is detected, and is processed according to the downlink control signal 0 (Downlink Control Information 0, DCI0), the system adaptive modulation coding (Adaptive Modulation and Coding) is inevitable. , AMC) adjustment and power control and other processing provide error information, resulting in abnormalities such as AMC and power control and traffic jitter. Therefore, it is especially important for the detection of signals or the detection of whether DCI0 is lost, and the corresponding detection indicators, namely the false detection and miss detection probability, become an important factor to measure the detection performance.

At present, the commonly used detection method is judged by Signal to Interference plus Noise Ratio (SINR), but the accuracy of SINR calculation is closely related to the channel, resource block (RB) size and signal power strength. And the accuracy of the channel estimation will also affect Calculation of SINR. It can be seen that the detection of the signal detection or the loss of DCI0 is completely affected by factors such as channel estimation and RB scheduling. For different modulation modes, RB sizes or antennas, the decision threshold is large, and the detection process is complicated. The probability of false detection and missed detection is high.

Summary of the invention

The present disclosure provides a method and apparatus for signal detection, which can simplify the flow of signal detection and reduce the probability of false detection of false detection.

According to an aspect of the present disclosure, a method of signal detection is provided, including:

Obtaining channel estimates for all antennas on each pilot symbol;

Obtaining a time domain channel estimation value by performing frequency-time transform on the obtained channel estimation values of all antennas on each pilot symbol;

Using all time domain channel estimation values, performing time domain peak search to obtain peak parameters corresponding to peak values;

According to the peak parameter, whether the transmitting end sends a signal is detected.

Optionally, the time-frequency transform includes one of the following processes:

a frequency-time transform that does not divide the antenna and does not divide the pilot symbols;

Frequency division conversion of sub-antennas without pilot symbols;

Frequency-time transform of the pilot symbols without dividing the antenna;

Frequency division transform of sub-antenna and sub-pilot symbols.

Optionally, the time-frequency transform of the antenna-independent and non-pilot symbols includes:

Superimposing the obtained channel estimation values of all antennas on each pilot symbol to obtain a channel estimation value that does not divide the antenna and does not divide the pilot symbol;

Performing a transform process from the frequency domain to the time domain on the channel estimation value that does not divide the antenna and does not separate the pilot symbols, and obtains a time domain channel estimation value that does not divide the antenna and does not separate the pilot symbols.

Optionally, the frequency-time transform of the sub-antenna and without pilot symbols includes:

Superimposing channel estimation values on all pilot symbols corresponding to each antenna to obtain channel estimation values of the sub-antennas without pilot symbols;

The channel estimation value of the sub-antenna and without the pilot symbol is subjected to transform processing from the frequency domain to the time domain to obtain a time domain channel estimation value of the sub-antenna without using the pilot symbol.

Optionally, the time-frequency transform of the antenna-independent and pilot-divided symbols includes:

Superimposing the channel estimation values of all the antennas corresponding to each pilot symbol to obtain a channel estimation value that does not divide the antenna and is divided into pilot symbols;

Performing a transform process from the frequency domain to the time domain on the channel estimation value of the antenna-independent and pilot-divided symbols, to obtain a time-domain channel estimation value that does not divide the antenna and is divided into pilot symbols.

Optionally, the frequency division transform of the sub-antenna and the pilot symbols includes:

The obtained channel estimation values of all the antennas on each pilot symbol are directly subjected to frequency-time transform to obtain time-domain channel estimation values of the sub-antenna and the sub-pilot symbols.

Optionally, the step of detecting whether the transmitting end sends a signal according to the peak parameter includes:

Calculating a corresponding average noise power by using a peak position and a peak power in the peak parameter;

Comparing the peak power with an average noise power;

If the peak power is greater than the average noise power and the difference between the two is greater than a preset threshold, determining to detect the transmission signal, if the peak power is less than or equal to the average noise power, determining that the transmission signal is not detected, if the peak power If the difference is greater than the average noise power and the difference between the two is less than the preset threshold, it is determined that the transmission signal is not detected.

Optionally, the step of detecting whether the transmitting end sends a signal according to the peak position and/or the peak power comprises:

Counting the probability that the peak parameter has the same peak position and/or has the same peak power;

Comparing the statistically obtained probability of having the same peak position and/or having the same peak power with a preset probability;

If the probability of having the same peak position and/or having the same peak power is greater than the preset probability, it is determined that the transmitted signal is detected, and if the same peak position and/or the probability of having the same peak power is less than the preset probability, it is determined that the transmitted signal is not detected. Send a signal.

According to another aspect of the present disclosure, an apparatus for signal detection is provided, comprising:

a channel estimation value obtaining module, configured to acquire channel estimation values of all antennas on each pilot symbol;

The frequency-time transform module is configured to obtain a time-domain channel estimation value by performing frequency-time transform on the channel estimation values of all the antennas on each of the acquired pilot symbols;

The peak search module is configured to perform time domain peak search by using all time domain channel estimation values, and obtain peak parameters corresponding to peak values;

The signal detecting module is configured to detect whether the transmitting end sends a signal according to the peak parameter.

Optionally, the frequency-time transform of the time-frequency transform module includes a frequency-time transform that does not divide the antenna and does not divide the pilot symbols, a frequency-time transform that does not divide the pilot symbols, and does not divide the antenna and is divided into pilot symbols. Any one of the frequency-time transform, the sub-antenna, and the frequency-time transform of the pilot symbols.

Optionally, the time-frequency transform module superimposes the acquired channel estimation values of all antennas on each pilot symbol to obtain a channel estimation value that does not divide the antenna and does not divide the pilot symbol, and does not divide the channel estimation value. The antenna and the channel estimation value without the pilot symbol are subjected to transform processing from the frequency domain to the time domain to obtain a time domain channel estimation value that does not divide the antenna and does not divide the pilot symbol.

Optionally, the time-frequency transform module superimposes channel estimation values on all pilot symbols corresponding to each antenna to obtain a channel estimation value that is not divided into pilot symbols and is not divided into pilot antennas. The channel estimation value without the pilot symbol is subjected to transform processing from the frequency domain to the time domain, and the sub-antenna is obtained without distinction The time domain channel estimate of the pilot symbols.

Optionally, the time-frequency transform module superimposes channel estimation values of all antennas corresponding to each pilot symbol to obtain a channel estimation value that does not divide the antenna and is divided into pilot symbols, and the antenna is not divided into antennas. The channel estimation value of the sub-pilot symbol is subjected to transform processing from the frequency domain to the time domain to obtain a time-domain channel estimation value that does not divide the antenna and is divided into pilot symbols.

Optionally, the time-frequency transform module directly performs frequency-time transform on the acquired channel estimation values of all antennas on each pilot symbol to obtain a time-domain channel estimation value of the sub-antenna and the pilot symbols.

Optionally, the signal detecting module calculates a corresponding average noise power by using a peak position and a peak power in the peak parameter, and compares the peak power with an average noise power, if the peak power is greater than an average noise If the power difference and the difference between the two are greater than the preset threshold, determining that the transmission signal is detected, if the peak power is less than or equal to the average noise power, determining that the transmission signal is not detected, if the peak power is greater than the average noise power and the difference between the two If the value is less than the preset threshold, it is determined that the transmission signal is not detected.

Optionally, the signal detection module counts the probability that the peak parameter has the same peak position and/or has the same peak power, and the obtained probability of having the same peak position and/or having the same peak power is preset. Probabilistic comparison, if the probability of having the same peak position and/or having the same peak power is greater than the preset probability, determining that the transmitted signal is detected, if the same peak position and/or the probability of having the same peak power is less than the preset probability, then Make sure no send signal is detected.

In accordance with still another aspect of the present disclosure, a non-transitory storage medium storing computer-executable instructions configured to perform the method of signal detection described above is provided.

According to still another aspect of the present disclosure, a computer program product is provided, the computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions Actuating the computer to perform the above signals when executed by a computer Method of detection.

According to still another aspect of the present disclosure, there is provided an electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor And the method of causing the at least one processor to perform the signal detection described above when the instruction is executed by the at least one processor.

The detection process of the present disclosure is simple and easy to implement, and can not only reduce the processing delay of the system, but also provide a guarantee for stream simplification of resource scheduling and power control; the present disclosure can accurately detect signals or determine whether DCI0 is lost or not, and reduce false detection. Check the probability and improve the detection performance.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a flow chart of signal detection provided by an embodiment of the present disclosure;

2 is a block diagram of a signal detecting apparatus according to an embodiment of the present disclosure;

FIG. 3 is a flowchart of signal detection frequency domain processing according to an embodiment of the present disclosure;

4 is a flowchart of signal detection time domain processing according to an embodiment of the present disclosure;

FIG. 5 is a structural block diagram of an electronic device according to an embodiment of the present disclosure.

detailed description

The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, and the features of the following embodiments and embodiments may be combined with each other without conflict.

1 is a flow chart of signal detection provided by an embodiment of the present disclosure. As shown in FIG. 1, the steps include:

Step S110: Acquire channel estimation values of all antennas on each pilot symbol.

In this step, channel estimation values of all antennas on each pilot symbol are obtained by detecting each pilot symbol received from all antennas.

Step S120: Perform time-frequency transform on the obtained channel estimation values of all antennas on each pilot symbol to obtain a time domain channel estimation value.

Step S120 can be processed in the following four ways:

In the first mode, each channel estimation value obtained in step S110 is directly subjected to frequency-time transform, that is, frequency division conversion of the sub-antenna and the pilot symbols is performed, and a time domain channel estimation value of the sub-antenna and the sub-pilot symbols is obtained.

For modes 2 to 4, the method of frequency-time conversion after superposition is as follows:

In the second mode, each channel estimation value obtained in step S110 is subjected to frequency-time transformation without antenna division and without pilot symbols, that is, each channel estimation value acquired in step S110 is superimposed to obtain a non-division antenna and is not guided. Channel estimation value of the frequency symbol, and performing frequency domain to time domain transform processing on the channel estimation value of the antenna-independent and non-pilot symbols, to obtain time-domain channel estimation without antenna and without pilot symbols value.

Manner 3: performing frequency division conversion on each channel estimation value obtained in step S110 and not using pilot symbols, that is, superimposing channel estimation values on all pilot symbols corresponding to each antenna to obtain a sub-antenna And not dividing the channel estimation value of the pilot symbol, and performing channel-to-time-domain transform processing on the channel estimation value of the sub-antenna and not using the pilot symbol to obtain a time domain of the sub-antenna and not dividing the pilot symbol Channel estimate.

Manner 4: performing frequency-frequency transformation of each channel estimation value obtained in step S110 without antennas and pilot symbols, that is, superimposing channel estimation values of all antennas corresponding to each pilot symbol to obtain a non-division antenna And dividing the channel estimation value of the pilot symbol, and performing channel-to-time-domain transform processing on the channel estimation value of the antenna-independent and pilot-divided symbols, to obtain a time-domain channel that does not divide the antenna and is divided into pilot symbols. Estimate Valuation.

Step S130: Perform time domain peak search by using all time domain channel estimation values, and obtain peak parameters corresponding to peak values.

In the first method, the time domain peak search can be directly performed by using the processing result of the mode 2 in step S120 (that is, the frequency division without the antenna and without the pilot symbol), and the peak parameter corresponding to the peak value is obtained, and the peak parameter includes the peak value. Position and / or peak power.

Method 2, using mode 1 in step S120 (ie, frequency division conversion of sub-antenna and sub-pilot symbols), mode 3 (ie, frequency division conversion of sub-antenna and pilot symbols) and mode 4 (ie, without antennas As a result of the processing of the time-frequency transform of the pilot symbols, a time domain peak search is directly performed for each time domain channel estimate, and a peak parameter corresponding to the peak value of each time domain channel estimate is obtained, the peak parameter including the peak position And / or peak power.

Method 3, using mode 1 in step S120 (ie, frequency division conversion of sub-antenna and sub-pilot symbols), mode 3 (ie, frequency division conversion of sub-antenna without pilot symbols) and mode 4 (ie, without antennas As a result of the processing of the time-frequency transform of the pilot symbols, the obtained time-domain peak values are superimposed and subjected to a time-domain peak search to obtain peak-corresponding peak parameters including peak positions and/or peak powers.

Step S140: Detect whether the transmitting end sends a signal according to the peak parameter.

In step S140, the detection processing can be performed in the following processing manners.

Method 1, calculating the average noise power according to the peak position and the peak power processed by the mode 1 and the mode 3 in the step S130, and comparing the peak power obtained in the step S130 with the average noise power, if the peak power is greater than the average noise power and If the difference between the two is greater than the preset threshold, it is determined that the transmission signal is detected. If the peak power is less than or equal to the average noise power, it is determined that the transmission signal is not detected, if the peak power is greater than the average noise power and the difference between the two is less than or equal to the preset threshold. , determine that no send signal is detected.

Mode 2, according to the processing result of the mode 2 in step S130, the peak of the estimated value of a time domain channel The peak position and the peak power corresponding to the value are calculated, the average noise power corresponding to the time domain channel estimation value is calculated, and the peak power corresponding to the time domain channel estimation value is compared with the average noise power. As long as there is a time domain channel estimation value corresponding to the peak power greater than the average noise power and the difference between the two is greater than a preset threshold, it is determined that the transmission signal is detected, if there is no time domain channel estimation value corresponding to the peak power greater than the average noise power If the difference between the two is greater than the preset threshold, it is determined that the transmission signal is not detected.

Mode 3, in all the time domain channel estimation values obtained by the mode 2 processing in step S130, the probability of having the same peak position and/or having the same peak power is counted, and the statistics have the same peak position and/or have the same peak value. The probability of power is compared with a preset probability. If the same peak position and/or the probability of having the same peak power is greater than the preset probability, it is determined that the transmitted signal is detected, if there is the same peak position and/or the probability of having the same peak power Less than the preset probability, it is determined that the transmission signal is not detected.

FIG. 2 is a block diagram of a signal detecting apparatus according to an embodiment of the present disclosure. As shown in FIG. 2, the method includes a channel estimation value acquiring module 10, a frequency time transform module 20, a peak search module 30, and a signal detecting module 40.

The channel estimation value obtaining module 10 is configured to acquire channel estimation values of all antennas on each pilot symbol, for example, by detecting each pilot symbol received from all antennas, and acquiring all antennas on each pilot symbol. Channel estimate.

The time-frequency transform module 20 is configured to obtain a time-domain channel estimation value by performing frequency-time transform on the obtained channel estimation values of all antennas on each pilot symbol. The frequency-time transform includes performing frequency-time transform directly, performing frequency-time transform after superposition, and performing frequency-time transform after the superposition includes frequency-time transform without splitting the antenna and without pilot symbols, and splitting the antenna without being guided. Any one of frequency-frequency conversion of frequency symbols, frequency division-time conversion without antennas, and sub-pilot symbols. That is to say, the time-frequency transform module 20 can also perform frequency-time transform in four ways, namely: 1. frequency-time transform of sub-antenna and sub-pilot symbols, that is, direct frequency-time transform; Frequency-time transform without pilot symbols, that is, channel estimation value acquisition module All the obtained channel estimation values are superimposed and then subjected to frequency-time transform; 3. The frequency-time transform of the sub-antenna and without the pilot symbols, that is, superimposing the channel estimation values on all pilot symbols corresponding to each antenna The frequency-time transform is performed. 4. The frequency-time transform of the pilot symbols is divided into antennas, that is, the channel estimation values of all the antennas corresponding to each pilot symbol are superimposed and then subjected to frequency-time transform.

The peak search module 30 is configured to perform a time domain peak search using all time domain channel estimates to obtain a peak parameter corresponding to the peak. That is, the peak search module 30 may perform a time domain peak search directly on the time domain channel estimation value processed by the time-frequency transform module 20 to obtain a peak parameter corresponding to the peak value of each time domain channel estimation value, each of which The peak parameter corresponding to the peak value of the time domain channel estimation value includes the peak position and/or the peak power; and all the time domain channel estimation values processed by the time-frequency transform module 20 may be superimposed to obtain a channel estimation superposition value, and then the channel estimation is superimposed. The value is subjected to a time domain peak search to obtain a peak parameter corresponding to the peak value of the channel estimation superposition value, and the peak parameter corresponding to the peak value of the channel estimation superposition value includes a peak position and/or a peak power.

The signal detecting module 40 is configured to detect whether the transmitting end transmits a signal according to the peak parameter. Specifically, the signal detecting module 40 may calculate a corresponding average noise power according to the peak parameter including the peak position and the peak power processed by the peak search module 30, and compare the peak power with the average noise power, if the peak power is greater than If the average noise power is greater than the preset threshold, it is determined that the transmission signal is detected. If the peak power is less than or equal to the average noise power or the difference between the two is less than or equal to the preset threshold, it is determined that the transmission signal is not detected; The statistical peak search module 30 processes the obtained probability of having the same peak position and/or having the same peak power, and compares the statistically obtained probability of having the same peak position and/or having the same peak power with the preset probability, if they have the same If the peak position and/or the probability of having the same peak power is greater than the preset probability, it is determined that the transmitted signal is detected, and if the same peak position and/or the probability of having the same peak power is less than the preset probability, it is determined that the transmitted signal is not detected.

The present disclosure is applicable not only to the detection of uplink signals but also to the detection of downlink signals. The detection of the above-mentioned line signal is taken as an example. Whether the signal exists or whether the DCI0 is lost or not, the present disclosure can improve the performance of the virtual check and the miss detection compared with the traditional detection method, and can simplify the implementation process of the AMC scheduling and the power control, and reduce the system. Handling delays.

The specific workflow is as follows:

Step 1: Obtain channel estimates for all antennas for each pilot symbol.

The obtained channel estimation value may be a channel estimation value before noise reduction, or may be a channel estimation value after noise reduction, and preferably a channel estimation value before noise reduction. Assume that all pilots and channel estimates corresponding to all antennas are obtained, expressed as

among them

i = 0, 1, ..., NumAntRx-1, and NumAntR represents the number of receiving antennas, and NumSym represents the number of pilot symbols.

Step 2: Estimate the obtained channel

A time-frequency transform is performed to obtain a time domain channel estimate.

For the second step, different processing modes can be selected according to the antenna placement type and the receiving end data processing flow, for example, sub-symbol and sub-antenna processing, sub-symbol and no antenna processing, no symbol division and sub-antenna processing, or no distinction Symbols are processed without antennas.

Mode 1, no antenna and no symbol processing.

Superimposing channel estimation values corresponding to all antennas on all pilot symbols, ie

Thereby obtaining the superimposed channel estimation value

among them,

NumRE indicates the number of resource elements (Resource Elements, RE) occupied by the detected user, that is, the length of the channel estimation.

Correct

Perform frequency-frequency changes to finally obtain channel estimation values in the time domain

Mode 2, sub-antenna and no symbol processing.

Superimposing channel estimation values on all pilot symbols corresponding to each antenna, ie

Correct

Perform a time-frequency change, and finally obtain a time domain channel estimate for each antenna.

Mode 3, without dividing the antenna and sub-symbol processing.

Superimposing channel estimation values of all antennas corresponding to each pilot symbol, that is,

Correct

Performing a time-frequency variation, eventually obtaining a time domain channel estimate for each pilot symbol

Mode 4, sub-antenna and sub-symbol processing.

Performing a time-frequency variation on channel estimation values of all antennas on each pilot symbol, and acquiring time domain channel estimation values of all antennas corresponding to each pilot symbol

The third step is to use the acquired time domain channel estimation value to perform time domain peak searching, and obtain the peak position and peak power corresponding to the peak value, thereby performing signal detection and decision.

The third step of processing can be handled in the following different ways:

Mode 1. Superimpose all pilot symbols and the time domain channel estimates of the antenna, and then search for peak power and peak position in the time domain position.

Assuming that the peak power of the search is expressed as P _max and a small window is respectively added based on the peak power, and the window is represented as L in total, the small window is represented as a signal window, and the noise window is calculated except the signal window, and the average noise of the noise window is calculated. Power P _NI . Where L can be determined according to RB and channel attributes.

Comparing the average noise power P _NI and the signal peak power P _max , if P _{max is} greater than P _NI and the difference between P _max and P _NI is greater than a preset threshold, ie, a relative threshold Threhold, the detected time-frequency region is determined. There is a signal or a signal sent by the UE. If P _{max is} less than or equal to P _NI , or P _{max is} greater than P _NI and the difference between P _max and P _NI is less than a preset threshold, no signal is considered or the DCI0 of the UE is lost. .

In the second mode, the time domain peak search is performed according to the time domain channel estimation values obtained in the second step.

Assume that the peak power of the search is expressed as

The corresponding peak positions are respectively denoted as Pos ^m , and the average noise power corresponding to each time domain channel estimation value is calculated by using mode 1 respectively.

Noise power

And corresponding signal peak power

Compare if the signal peak power

Greater than noise power

And

versus

If the difference is greater than the relative threshold Threhold, it is determined that there is a signal in the detected time-frequency region or that the signal sent by the UE is received, if the peak power of the signal

Less than or equal to noise power

or

versus

The difference is less than or equal to the relative threshold Threhold, and no signal is considered or the DCI0 of the UE is lost.

For mode 2, as long as one of the decisions is a presence signal, it is finally determined that there is a signal in the area or that the UE's DCI0 is not lost.

In the third method, in order to avoid the false detection caused by the pseudo peak, when the peak determination is performed, the peak position of each time domain channel estimation can also be determined.

If the above manner judges that DCI0 is lost, and the probability that all peak positions are the same and/or the peak power is the same is greater than 75%, then the DCI0 of the UE is also not lost, that is, there is a signal in the time-frequency region.

The criterion for determining whether the peak positions are the same is that if the peak position of one peak power is shifted by one sample position relative to the peak position of the other peak power or left or right, the two peak positions are considered to be the same.

For the case of sudden impulse interference, the time domain peak search may be performed in the manner of sub-pilot symbols, that is, the time domain channel estimation values on each pilot symbol are superimposed or converted in frequency time. Before superimposing, and then searching for the maximum peak and the second largest peak respectively, and the maximum peak position and the second largest peak position corresponding to the maximum peak and the second largest peak, and judging whether the maximum peak position and the second largest peak position between the two pilot symbols are Similarly, the criterion for determining whether the peak positions are the same may be the aforementioned criterion. If there is a same peak position between the two pilot symbols, that is, the maximum peak position or the second largest peak position is the same, then the peak power at the same peak position is taken as the standard, and another peak power is applied. Rate culling, and subsequently determining whether the UE's DCI0 is lost according to the difference between the peak power and the average noise power. For example, for the pilot symbol a, it corresponds to the maximum peak power P1 of the time domain channel estimation value, the maximum peak position is m1, the second largest peak power P2, the second largest peak position m2, and for the pilot symbol b, the corresponding time domain channel The maximum peak power P3 of the estimated value, the maximum peak position is n1, the second largest peak power P4, and the second largest peak position n2, assuming that m2 is equal to n2, then for the pilot symbol a, the peak power P2 at the peak position m2 is taken as the standard. Similarly, for the pilot symbol b, the peak power P4 at the peak position n2 is taken as the standard. If the peak positions of the two peak powers are the same, the powers at the two peak positions are summed, and the corresponding peak position with the highest power is selected as the searched peak position, and the peak at the other position is eliminated, and then The difference between the peak power and the average noise power as above determines whether the DCI0 of the UE is lost. For example, for the pilot symbol a, it corresponds to the maximum peak power P1 of the time domain channel estimation value, the maximum peak position is m1, the second largest peak power P2, the second largest peak position m2, and for the pilot symbol b, the corresponding time domain channel The estimated maximum peak power P3, the maximum peak position is n1, the second largest peak power P4, the second largest peak position n2, assuming m1 is equal to n1, m2 is equal to n2, and the sum of P1 and P3 is greater than the sum of P2 and P4, M1 and n1 serve as the searched peak positions.

The present disclosure is applicable to the determination of confidence in the field of wireless communication, such as Orthogonal Frequency Division Multiplexing (OFDM) system signals, and in particular, whether DCI0 is lost.

The above-mentioned DCI0 loss detection is performed, and one of the processing manners is taken as an example to describe the embodiment. FIG. 3 is a flowchart of frequency signal processing of the signal detection provided by this embodiment. As shown in FIG. 3, the steps include:

Step S201: Calculate channel estimation values of all antennas on each pilot symbol by using LS.

It is assumed that all pilot symbols obtained and channel estimation values corresponding to all antennas are expressed as

Wherein l = 0, 1, ..., NumSym-1, i = 0, 1, ..., NumAntRx-1, and NumAntR represents the number of receiving antennas, and NumSym represents the number of pilot symbols.

Step S202: Estimating the channel value

Make a superposition.

In this step, the frequency-domain transform of all the pilot symbols and the corresponding antennas of all the antennas are superimposed to obtain the superposed frequency domain channel estimation values by taking the time-division transformation without the symbol and without dividing the antenna.

which is

among them,

Step S203: Estimating the channel after the superposition

The transform method can use the inverse Fourier transform to obtain the time domain channel estimation value.

which is

Whereifft() represents the inverse Fourier change.

Step S204: Estimating the time domain channel estimated value obtained by using step S203

Perform a time domain peak search.

Step S205: Calculation of noise power.

This step includes the following substeps:

Sub-step 1: It is assumed that the peak power of the search is P _max and the corresponding peak position is L _max . The card [L1, L2] is respectively _occupied by the peak position L _max , and the window is a signal window, and all time domain samples except the signal window are determined as noise, that is, a noise window.

Sub-step 2: Calculate the average noise power P _{NI in the} noise window;

Step S206: The signal detection decision.

Comparing the signal peak power P _max with the average noise power P _NI , if the signal peak power P _{max is} greater than the average noise power P _NI and satisfying P _max −P _NI ≥Threhold, it is determined that there is a signal at the corresponding time-frequency domain position, If the signal peak power P _{max is} less than or equal to the average noise power P _NI or does not satisfy P _max -P _NI ≥Threhold, it is determined that there is no signal in the detection region, and DCI0 is lost.

Step S207: using the calculation result of step S206, if it is determined that there is a signal at the time-frequency domain location, Then, the demodulation of the subsequent UE signal is performed, including the processing of the symbol level and the bit level, and finally the demodulation result is reported. The result of the DCI0 decision may not be reported in this case, or may be reported after the symbol level processing is completed, or may be reported after the bit level processing is completed. If it is determined that the DCI0 of the UE is lost in the time-frequency domain, the subsequent bit-level processing is not performed, and the detection result of the DCI0 is reported.

4 is a flowchart of signal detection time domain processing according to an embodiment of the present invention. As shown in FIG. 4, the steps include:

Step S301: Calculate channel estimation values of all antennas on each pilot symbol by using LS.

Step S302: Estimating the obtained channel value

In this step, the frequency-time variation of the frequency domain of all the pilot symbols and the corresponding antennas is performed in a time-frequency manner by using a sub-symbol and a sub-antenna frequency-frequency transform to obtain time-domains of all the pilot symbols and corresponding antennas. Channel estimate

Step S303: Superimpose all time domain channel estimation values obtained in step S302 to obtain a time domain channel estimation superposition value.

Step S304: performing time domain peak search by using the time domain channel estimation superimposed value processed in step S303, and searching for peak power P _max in the time domain position.

Step S305: The peak power P _max search obtained in step S304, calculates the average noise power P _NI.

Step S306: The signal detection decision.

Comparing the average noise power P _NI and the signal peak power P _max , if P _{max is} greater than P _NI and the difference between P _max and P _NI is greater than the relative threshold Thredhold, then the signal in the detected time-frequency region is determined to be received or received. When the signal sent by the UE is reached, if P _{max is} less than or equal to P _NI , or P _{max is} greater than P _NI and the difference between P _max and P _NI is less than the relative threshold Threhold, no signal is considered or DCI0 of the UE is lost.

Step S307: Using the calculation result of step S306, if it is determined that there is a signal in the time-frequency domain position, demodulation of the subsequent UE signal is performed, including symbol level and bit level processing, and finally the demodulation result is reported, otherwise it is not performed. Subsequent bit-level processing, and reporting the detection result of DCI0 at the same time.

The present disclosure also provides a non-transitory storage medium storing computer executable instructions arranged to perform the method of signal detection of the above-described embodiments.

The present disclosure also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, A method of causing the computer to perform signal detection of the above embodiment.

The present disclosure also provides an electronic device. FIG. 5 is a structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device may include a processor 51 and a memory 53, and may further include a communication interface 52 and a bus 54. The processor 51, the communication interface 52, and the memory 53 can complete communication with each other through the bus 54. Communication interface 52 can be used for information transmission. The processor 51 can call the logic instructions in the memory 53 to perform the method of signal detection of the above embodiment.

In addition, the logic instructions in the memory 53 described above may be implemented in the form of a software functional unit and sold or used as a stand-alone product, and may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product stored in a storage medium, including a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network) The device or the like) performs all or part of the steps of the method described in various embodiments of the present disclosure. The foregoing storage medium may be a non-transitory storage medium, including: a U disk, a shift A medium that can store program code, such as a hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or a transient storage medium.

Industrial applicability

The method and apparatus for signal detection according to the present disclosure can simplify the flow of signal detection and reduce the probability of false detection miss detection.

Claims

A method of signal detection, comprising:

Obtaining channel estimates for all antennas on each pilot symbol;

Obtaining a time domain channel estimation value by performing frequency-time transform on the obtained channel estimation values of all antennas on each pilot symbol;

Performing a time domain peak search using all time domain channel estimates to obtain a peak parameter corresponding to the peak;

According to the peak parameter, whether the transmitting end sends a signal is detected.
The method of claim 1 wherein said time-of-frequency transform comprises one of:

a frequency-time transform that does not divide the antenna and does not divide the pilot symbols;

Frequency division conversion of sub-antennas without pilot symbols;

Frequency-independent conversion of the pilot symbols without dividing the antenna;

Frequency division transform of sub-antenna and sub-pilot symbols.
The method of claim 2, wherein the time-frequency transform of not dividing the antenna and not dividing the pilot symbols comprises:

Superimposing the obtained channel estimation values of all antennas on each pilot symbol to obtain a channel estimation value that does not divide the antenna and does not divide the pilot symbol;

Performing a transform process from the frequency domain to the time domain on the channel estimation value that does not divide the antenna and does not separate the pilot symbols, and obtains a time domain channel estimation value that does not divide the antenna and does not separate the pilot symbols.
The method of claim 2, wherein the frequency division transform of the sub-antenna and without pilot symbols comprises:

Superimposing channel estimation values on all pilot symbols corresponding to each antenna to obtain channel estimation values of the sub-antennas without pilot symbols;

The channel estimation value of the sub-antenna and without the pilot symbol is subjected to transform processing from the frequency domain to the time domain to obtain a time domain channel estimation value of the sub-antenna without using the pilot symbol.
The method of claim 2, wherein the frequency division transform of the antennaless and pilot symbols comprises:

Superimposing the channel estimation values of all the antennas corresponding to each pilot symbol to obtain a channel estimation value that does not divide the antenna and is divided into pilot symbols;

Performing a transform process from the frequency domain to the time domain on the channel estimation value of the antenna-independent and pilot-divided symbols, to obtain a time-domain channel estimation value that does not divide the antenna and is divided into pilot symbols.
The method of claim 2, wherein the frequency division transform of the sub-antenna and sub-pilot symbols comprises:

The obtained channel estimation values of all the antennas on each pilot symbol are directly subjected to frequency-time transform to obtain time-domain channel estimation values of the sub-antenna and the sub-pilot symbols.
The method according to any one of claims 1-6, wherein the step of detecting whether the transmitting end transmits a signal according to the peak parameter comprises:

Calculating a corresponding average noise power by using a peak position and a peak power in the peak parameter;

Comparing the peak power with an average noise power;

Determining that a transmission signal is detected if the peak power is greater than an average noise power and the difference between the two is greater than a preset threshold;

If the peak power is less than or equal to the average noise power, it is determined that the transmission signal is not detected;

If the peak power is greater than the average noise power and the difference between the two is less than a preset threshold, it is determined that the transmission signal is not detected.
The method according to any one of claims 1-2, 4-6, wherein the step of detecting whether the transmitting end transmits a signal according to the peak position and/or the peak power comprises:

Counting the probability that the peak parameter has the same peak position and/or has the same peak power;

Comparing the statistically obtained probability of having the same peak position and/or having the same peak power with a preset probability;

Determining that a transmission signal is detected if the probability of having the same peak position and/or having the same peak power is greater than a preset probability;

If the probability of having the same peak position and/or having the same peak power is less than or equal to the preset probability, it is determined that the transmission signal is not detected.
A device for detecting signals, comprising:

a channel estimation value obtaining module, configured to acquire channel estimation values of all antennas on each pilot symbol;

The frequency-time transform module is configured to obtain a time-domain channel estimation value by performing frequency-time transform on the channel estimation values of all the antennas on each of the acquired pilot symbols;

a peak search module configured to perform a time domain peak search using all time domain channel estimates to obtain peak parameters corresponding to peak values;

The signal detecting module is configured to detect whether the transmitting end sends a signal according to the peak parameter.
The apparatus according to claim 9, wherein the frequency-time transform of the time-frequency transform module comprises a frequency-time transform that does not divide an antenna and does not divide a pilot symbol, and a frequency-time transform of a sub-antenna without a pilot symbol, The frequency-time transform of the pilot symbols and the frequency division conversion of the divided antennas and the pilot symbols are not divided into antennas.
The apparatus according to claim 10, wherein the time-frequency transform module superimposes the obtained channel estimation values of all antennas on each pilot symbol to obtain channel estimation values that are not divided into antennas and are not divided by pilot symbols. And performing channel-to-time-domain transform processing on the channel estimation value that does not divide the antenna and does not divide the pilot symbol, to obtain a time domain channel estimation value that does not divide the antenna and does not divide the pilot symbol.
The apparatus according to claim 10, wherein the time-frequency transform module superimposes channel estimation values on all pilot symbols corresponding to each antenna to obtain a channel estimation value of a sub-antenna without pilot symbols, The channel estimation value of the sub-antenna and without the pilot symbol is subjected to transform processing from the frequency domain to the time domain to obtain a time domain channel estimation value of the sub-antenna without using the pilot symbol.
The apparatus according to claim 10, wherein the time-frequency transform module superimposes channel estimation values of all antennas corresponding to each pilot symbol to obtain channel estimation values of antenna-free pilot symbols, and Performing a transform process from the frequency domain to the time domain on the channel estimation value of the antenna-independent and pilot-divided symbols, to obtain a time-domain channel estimation value that does not divide the antenna and is divided into pilot symbols.
The apparatus according to claim 10, wherein the time-frequency transform module directly performs frequency-time transform on the acquired channel estimation values of all antennas on each pilot symbol to obtain a time domain of the sub-antenna and the pilot symbols. Channel estimate.
The apparatus according to any one of claims 9-14, wherein said signal detecting module calculates a corresponding average noise power using said peak position and peak power in said peak parameter, and said peak power and average noise The power is compared. If the peak power is greater than the average noise power and the difference between the two is greater than a preset threshold, it is determined that the transmission signal is detected. If the peak power is less than or equal to the average noise power, it is determined that the transmission signal is not detected. The peak power is greater than the average noise power and two If the difference is less than or equal to the preset threshold, it is determined that the transmission signal is not detected.
The apparatus according to any one of claims 9-10, 12-15, wherein the signal detection module counts the probability that the peak parameter has the same peak position and/or has the same peak power, and the statistical result is obtained. The probability of having the same peak position and/or having the same peak power is compared to a preset probability, and if the same peak position and/or the probability of having the same peak power is greater than the preset probability, it is determined that the transmitted signal is detected if the same peak is present The probability of location and/or having the same peak power is less than or equal to the preset probability that the transmitted signal is not detected.
A non-transitory storage medium storing computer executable instructions arranged to perform the method of signal detection of any of claims 1-8.
A computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to execute A method of signal detection as claimed in any of claims 1-8.
An electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions being processed by the at least one The method of causing the at least one processor to perform the signal detection of any of claims 1-8 when executed.