CN115037340B - Signal detection method, device, electronic equipment and storage medium - Google Patents

Signal detection method, device, electronic equipment and storage medium Download PDF

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Publication number
CN115037340B
CN115037340B CN202210642101.3A CN202210642101A CN115037340B CN 115037340 B CN115037340 B CN 115037340B CN 202210642101 A CN202210642101 A CN 202210642101A CN 115037340 B CN115037340 B CN 115037340B
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representing
probability
nearest neighbor
determining
received signal
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CN115037340A (en
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张川
葛荧萌
刘李汉唐
冀贞昊
张在琛
黄永明
尤肖虎
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Network Communication and Security Zijinshan Laboratory
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Network Communication and Security Zijinshan Laboratory
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Priority to PCT/CN2023/080785 priority patent/WO2023236610A1/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/063—Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
  • Radio Transmission System (AREA)

Abstract

The invention provides a signal detection method, a signal detection device, electronic equipment and a storage medium, wherein the signal detection method comprises the following steps: in the process of detecting a transmission signal of a terminal device, determining a target symbol parameter corresponding to a received signal; determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter; based on the probability, an estimated value corresponding to the transmission signal is determined. The method is used for solving the problem that in the prior art, the terminal equipment detects the transmission signal of the terminal equipment by using an M-MIMO detection algorithm, and the detection hardware cost corresponding to the detection of the signal is relatively high due to relatively complex whole signal detection process.

Description

Signal detection method, device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a signal detection method, a signal detection device, an electronic device, and a storage medium.
Background
In the prior art, a digital signal processor (Digital Signal Processer, DSP) in a terminal device generally detects a transmission signal of the terminal device by using a large-scale multiple-input multiple-output (M-MIMO) detection algorithm. The M-MIMO detection algorithm may include, but is not limited to, a maximum likelihood (Maximum Likelihood, ML) algorithm, a maximum a posterior (Maximum A Posterior, MAP) algorithm, a Bayesian inference based message passing class detection (Message Passing Detection, MPD) algorithm.
Then, whether the terminal equipment detects the transmission signal of the terminal equipment by using an ML algorithm, a MAP algorithm or an MPD algorithm based on Bayesian inference, the hardware implementation degree of the digital signal processor is difficult, and the whole signal detection process is complex, so that the transmission signal of the terminal equipment cannot be accurately detected.
Disclosure of Invention
The invention provides a signal detection method, a device, electronic equipment and a storage medium, which are used for solving the problem that in the prior art, a terminal device detects a transmission signal of the terminal device by utilizing an M-MIMO detection algorithm, and the detection hardware cost corresponding to the accurate detection of the signal is relatively high because the whole signal detection process is relatively complex.
The invention provides a signal detection method, which comprises the following steps:
in the process of detecting a transmission signal of a terminal device, determining a target symbol parameter corresponding to a received signal;
determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter;
based on the probability, an estimated value corresponding to the transmission signal is determined.
The invention also provides a signal detection device, comprising:
the selection module is used for determining a target symbol parameter corresponding to a received signal in the process of detecting the transmission signal of the terminal equipment;
the calculation module is used for determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter;
and the parallel interference elimination module is used for determining an estimated value corresponding to the transmission signal based on the probability.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor comprising a selector, a calculator and a parallel interference canceller, the processor implementing a signal detection method as described in any one of the above when executing the program.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a signal detection method as described in any of the above.
The invention also provides a computer program product comprising a computer program which when executed by a processor implements a signal detection method as described in any one of the above.
According to the signal detection method, the signal detection device, the electronic equipment and the storage medium, the target symbol parameters corresponding to the received signals are determined in the process of detecting the transmission signals of the terminal equipment; determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter; based on the probability, an estimated value corresponding to the transmission signal is determined. The method is used for solving the problem that in the prior art, the terminal equipment detects the transmission signal of the terminal equipment by using an M-MIMO detection algorithm, and the detection hardware cost corresponding to the detection of the signal is relatively high due to relatively complex whole signal detection process.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1a is a schematic diagram of a signal detection device according to the present invention;
fig. 1b is a schematic diagram of a constellation processing element according to the present invention;
fig. 1c is a schematic diagram of a parallel interference canceller provided by the present invention;
FIG. 2 is a schematic flow chart of a signal detection method according to the present invention;
FIG. 3a is a second flow chart of the signal detection method according to the present invention;
FIG. 3b is a schematic diagram of a performance simulation corresponding to the signal detection method according to the present invention;
FIG. 3c is a second exemplary diagram of a performance simulation corresponding to the signal detection method according to the present invention;
FIG. 3d is a third exemplary diagram illustrating a performance simulation corresponding to the signal detection method according to the present invention;
FIG. 4a is a third flow chart of the signal detection method according to the present invention;
FIG. 4b is a schematic diagram of simulation results provided by the present invention;
FIG. 5 is a second schematic diagram of a signal detection device according to the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the prior art, MPD algorithms may include, but are not limited to: confidence propagation (Belief Propagation, BP) signal detection algorithm, channel hardening assisted messaging (Channel Hardening-Exploiting Message Passing, CHEMP) signal detection algorithm, approximate messaging (Approximate Message Passing, AMP) signal detection algorithm, and the like.
AMP signal detection algorithms were originally designed to address minimum absolute shrinkage and selection operator (Least Absolute Shrinkage and Selection Operator, LASSO) issues, and in addition, can be used to address sparse signal recovery and compressed sensing issues. When the terminal device detects the transmission signal of the terminal device by using the AMP signal detection algorithm, the terminal device cannot accurately detect the transmission information because the moment matching cannot be accurately calculated.
Fig. 1a is a schematic structural diagram of a signal detection device according to the present invention. In fig. 1a, the signal detection device 10 includes: a Controller Unit (CU) 101, an iteration Unit 102, and a register Unit 103.
A controller unit 101 for controlling clocks and Input/Output (I/O);
an iteration unit 102, configured to determine a target symbol parameter corresponding to the received signal during each iteration update, a probability corresponding to the modulated symbol constellation point set, and an estimated value corresponding to the transmitted signal;
A register unit 103 for storing I/O and ancillary data, which may include, but is not limited to, the target symbol parameters, probabilities, and estimates described above.
The iteration unit 102 may include: constellation processing elements 1021 and parallel interference cancellation elements 1022. The number of constellation processing elements 1021 is p and the number of parallel interference cancellation elements 1022 is q. Illustratively, p has a value of 4, which is a first constellation processing element, a second constellation processing element, a third constellation processing element, and a fourth constellation processing element, respectively, q has a value of 4, which is a first parallel interference cancellation element, a second parallel interference cancellation element, a third parallel interference cancellation element, and a fourth parallel interference cancellation element, respectively.
The register unit 103 may include: a Read Only Memory (ROM), the number of the register units 103 is s, the value of s is 4, and the register units are respectively a first register unit, a second register unit, a third register unit and a fourth register unit, where the first register unit is used for storing matched filtering input, the second register unit is used for storing channel matrix, the third register unit is used for storing output result, and the fourth register unit is used for storing auxiliary data.
The parallel interference cancellation element 1022 may include: the device comprises a calculator and a parallel interference canceller, wherein the calculator is used for determining the probability corresponding to a received signal, and the parallel interference canceller is used for determining an estimated value corresponding to a transmitted signal. Alternatively, the calculator may include: a value change selector and a segment shift selector.
In some embodiments, as shown in fig. 1b, a schematic structure of a constellation processing element provided in the present invention is shown. In fig. 1b, the constellation processing element 1021 includes a nearest neighbor approximation (Nearest Neighbor Approximation, NNA) selector (simply referred to as a selector), an adder, a multiplier, and a selection adder, where the selector is used to determine a target symbol parameter corresponding to a received signal, the adder is used to add, the multiplier is used to multiply, and the selection adder is used to select data and then perform addition; the adder is connected with the NNA selector and the multiplier, the NNA selector and the multiplier are connected with the first pipeline register, the first pipeline register is connected with the selection adder, and the selection adder is connected with the second pipeline register. Alternatively, the NNA selector may comprise a Multiplexer (MUX) -delta and a MUX-omega:
in some embodiments, as shown in fig. 1c, a schematic diagram of a parallel interference canceller provided by the present invention is shown. In fig. 1c, the parallel interference canceller may include a mean selector for shift-plus-branch selection of data and a matrix vector multiplier.
The signal detection device according to the embodiment of the invention can detect the received signal of the terminal equipment by utilizing NNA-AMP algorithm and Hardware-Friendly (HF-AMP) signal detection algorithm.
The terminal device according to the embodiment of the present invention may include, but is not limited to: mobile terminals, wearable devices, computers, and the like. The terminal equipment can be provided with a narrow-band large-scale multi-input multi-output M-MIMO device.
Wherein, the M-The MIMO device may include N t Multiple transmit antennas and N r Multiple receiving antennas N t ≥2，N r ≥2，N t <N r 。
In some embodiments, the modulation mode of the received signal of the terminal device includes Q symbol quadrature amplitude modulation (Q-Quadrature Amplitude Modulation, Q-QAM) mode with a modulation symbol constellation point set (short: constellation point set) of Ω.
In the Q-QAM mode, the complex signal transmission model corresponding to the M-MIMO device is that
Wherein,transmission matrix corresponding to the wireless communication channel of the terminal device, < >>Representing a received signal vector corresponding to the receiving antenna, < >>Representing a transmission signal vector corresponding to a transmitting antenna, < +.>Representing the noise vector.
Exemplary, assume thatIndependently distributed Rayleigh channel,>the corresponding mean value is 0, < > >The corresponding noise variance is 1/N r At this time, the->Representing an additive white gaussian noise (Additive White Gaussian Noise, AWGN) vector,the corresponding mean value is 0, < >>The corresponding noise variance is->Representing the identity matrix.
Alternatively, the Q of the Q symbols may be one of 16, 32, 64 and 256, which is not specifically limited herein.
In some embodiments, the channel state information (Channel State Information, CSI) in the terminal device includes a channel matrix H, and the terminal device may model the complex signal transmission described above assuming that the CSI is known, i.e., H is knownConversion into an equivalent real number model: y=hx+n.
Wherein H represents a transmission matrix corresponding to a wireless communication channel of the terminal equipment, and the dimension of the transmission matrix is 2N r ×2N t ，H∈R 2 Nr×2 Nt H corresponds to a corresponding algorithm according to the embodiment of the invention; y= [ y ] 1 ，y 2 ，…，y 2Nr ] T Representing the received signal vector y e R 2Nr×1 ；[.] T Representing a transpose operation; x= [ x ] 1 ，x 2 ，…，x 2Nt ] T Representing the transmitted signal vector, x.epsilon.OMEGA 2 Nt×1 Omega represents a real number set corresponding to real part/imaginary part in a Q-QAM constellation, and the size of the real number set is thatn＝[n 1 ，n 2 ，…，n 2Nr ] T RepresentingAWGN vector with n corresponding mean value of 0 and n corresponding noise variance of sigma n 2 。
It should be noted that, the execution body according to the embodiment of the present invention may be a signal detection device or a terminal device. The following further describes embodiments of the present invention by taking a terminal device as an example.
As shown in fig. 2, a flow chart of the signal detection method provided by the present invention may include:
201. in the process of detecting the transmission signal of the terminal equipment, determining the target symbol parameter corresponding to the received signal.
Optionally, the target symbol parameters may include: modulation symbol constellation point setIn the nearest neighbor symbol omega, or, the +.>A corresponding code flag F.
The terminal device may utilize the selector to include auxiliary data from the register unit in detecting the received signal y of the terminal deviceDetermining ω; can also be according to this->Corresponding position index m, determining the +.>The corresponding code marks are not particularly limited herein.
In some embodiments, the terminal device may, according to a first preset number of location indices m, inWherein the nearest neighbor symbol omega corresponding to the m is determined, and the number of omega is the same as the number of m;it is also possible to provide m pairs according to the first predetermined number +.>Dividing to obtain a second preset number of sections, and marking the second preset number of sections with corresponding gray codes to obtain a second preset number of coding marks F, which are not particularly limited herein.
The first preset number and the second preset number may be the same or different, and may be set before the terminal device leaves the factory, or may be user-defined according to actual needs, which is not specifically limited herein.
202. And determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter.
In some embodiments, the terminal device may determine, according to the target symbol parameter, a relationship parameter corresponding to the received signal, and then determine, according to the relationship parameter, a probability corresponding to the received signal in the modulation symbol constellation point set.
In some embodiments, the terminal device may determine the first probability corresponding to the received signal according to ω, or may determine the second probability corresponding to the received signal according to F, which is not specifically limited herein.
That is, the terminal device may determine the first probability that the received signal corresponds to the modulation symbol constellation point set according to the first relationship parameter corresponding to ω, or may determine the second probability that the received signal corresponds to the modulation symbol constellation point set according to the second relationship parameter corresponding to F, which is not specifically limited herein.
Optionally, before step 202, the method may further include: the terminal equipment utilizes the controller unit to respectively obtain a transmission signal vector x, a reception signal vector y, a channel matrix H and a noise variance sigma according to the obtained transmission signal, the received signal, the channel state information CSI and the noise information of the terminal equipment n 2 . Then, the terminal device generates a signal according to x, y, H and sigma n 2 Obtaining the gramGram) the channel matrix G and H, respectively. Wherein g=h T H，b＝H T y。
Finally, the terminal device can determine the probability corresponding to the received signal by using G and b.
203. Based on the probabilities, an estimate corresponding to the transmitted signal is determined.
In some embodiments, the terminal device may determine a detection error corresponding to the transmission signal based on the probability, and then determine an estimated value corresponding to the transmission signal according to the detection error.
In some embodiments, the terminal device may determine, based on the probability, a mean value corresponding to the received signal, and then determine, based on the mean value, a detection error corresponding to the received signal.
Optionally, detecting errorsMay be obtained by the terminal device using a mean selector in the parallel interference canceller. The terminal device uses the first adder to output the addition tree and the filtered received signal b i Combined to obtain a detection error.
Alternatively, the estimateMay be obtained by the terminal device using a matrix vector multiplier in a parallel interference canceller. In the matrix vector multiplier, the terminal device can convert g i ＝[g i,1 ，g i,2 ，…，g i,2Nt ] T Respectively and->Performing inner products, each group being performed by a multiplier and a five-level adder tree to achieve G and +. >Is a multiplication of (a) by (b). Wherein g i Representing the i-th row element in G.
In the embodiment of the invention, the method is used for solving the problem that in the prior art, the terminal equipment detects the transmission signal of the terminal equipment by using an M-MIMO detection algorithm, and the detection hardware cost corresponding to the detection of the signal is relatively high due to relatively complex whole signal detection process.
As shown in fig. 3a, a flow chart of a signal detection method provided by the present invention may include:
301. in the process of detecting a transmission signal of a terminal device, determining a nearest neighbor symbol corresponding to a received signal in a modulation symbol constellation point set.
In the process of detecting the transmission signal of the terminal equipment, the terminal equipment can utilize the selector to integrate the constellation points of the modulation symbols according to the position index m of the first preset numberAnd determining the nearest neighbor symbol omega corresponding to the m.
The first preset number is, for example, 2. The terminal device can be respectively the first position index m according to 2 position indexes 1 And a second position index m 2 In the followingWherein the m is determined 1 Corresponding first nearest neighbor symbol omega m1 And determine the m 2 Corresponding second nearest neighbor symbol omega m2 。
Wherein m is 1 And m 2 Is randomly extracted by the terminal equipment.
302. And determining a first relation parameter according to the nearest neighbor symbol, and determining a first probability corresponding to the received signal in the modulation symbol constellation point set according to the first relation parameter.
In some embodiments, there are a large number of processing nodes in the signal flow graph (Signal Flow Graph, SFG) corresponding to the terminal device. The terminal equipment can delete part of processing nodes with low performance dependency from the SFG to achieve the purpose of compressing the processing nodes, thereby improving the processing efficiency of other processing nodes.
At this time, the terminal device may be according to a dynamic formulaObtaining the noise variance tau corresponding to the terminal equipment (l) . However, since the beta factor of the transmission model corresponding to the M-MIMO device in the terminal equipment is small, the transmission model is +.>Is negligible. The terminal device can then apply the dynamic formula +.>Can be simplified to a static formula τ (l) ＝σ n Thereby obtaining more accurate noise variance tau (l) 。
Optionally, the determining, by the terminal device, a first relationship parameter according to the nearest neighbor symbol, and determining, according to the first relationship parameter, a first probability corresponding to the received signal in the modulation symbol constellation point set may include: the terminal equipment determines a first relation parameter according to a first parameter formula, and determines a first probability corresponding to the received signal in the modulation symbol constellation point set according to a first probability formula.
Wherein the first parameter formula is l represents the number of iterations, < >>Representing a first relationship parameter, s ω ＝ω m2 -ω m1 Representing the second nearest neighbor symbol with the first nearest neighbor symbolDifference, a ω ＝ω m2 +ω m1 Representing the sum of the second nearest neighbor symbol and the first nearest neighbor symbol, < >>Representing normalization parameters corresponding to the terminal equipment;
the first probability formula ism represents a position index, ">Representing a first probability; />Representing the probability that the received signal corresponds in the set of modulation symbol constellation points with the position index being the first nearest neighbor symbol.
In some embodiments, the- |·| in the first parameter formula may be obtained by the terminal device using a value change selector in the calculator,may be obtained by the terminal device using a segment selector in the calculator.
In some embodiments, in order to simplify the computation complexity caused by the nonlinear computation portions such as division and exponent contained in the first parameter formula and the first probability formula, the terminal device may perform piecewise linear approximation (Piecewise Linear Approximation, PLA) on the nonlinear computation portions, so that the terminal device appropriately approximates the nonlinear portions to the linear portions in a limited numerical range by using some data, so as to reduce the computation performance loss of the calculator and improve the accuracy of the computation result.
In the first parametric formula, the nonlinear function isTerminal equipment canTo first take tau (l) Cut in [ eta ] a,1 ，η b,1 ]Within a range of eta a,1 Represents a first noise threshold, eta b,1 Representing a second noise threshold; then, the terminal device uses the terminal device having N seg，1 Piecewise linear interpolation function of segments->To approximate the nonlinear function as +.>N seg，1 Representing a first number.
In the first probability formula, the nonlinear function isWherein (1)> When->Is sufficiently small, is added to the value of->May be approximately equal to 0. The terminal device may first add->Cut in [ eta ] a,2 ，η b,2 ]Within a range of eta a,2 Represents a third noise threshold, eta b,2 Represents a fourth noise threshold, eta b,2 The value of (2) is 0; then, the terminal device uses the terminal device having N seg，2 Piecewise linear function of segments to approximate->N seg，2 Representing a second number. That is, the terminal deviceUsing linear interpolation function->Replace the nonlinear function->
Exemplary, as shown in fig. 3b, a performance simulation diagram corresponding to the signal detection method provided by the invention is shown. In FIG. 3b, the curve of the box connection is N before processing node deletion t ＝8、N t =16 and N t Bit Error probability (BER) change curves corresponding to=32 respectively; the triangle connection curve is N after the processing node is deleted t ＝8、N t =16 and N t BER profiles corresponding to =32, respectively. Wherein E is s Representing the average energy, N, of the corresponding symbols of the received signal 0 Indicating the channel noise power corresponding to the terminal device.
By comparing the two BER change curves, at N t =8 and N t When=16, the terminal device uses a linear interpolation function to replace the nonlinear function, and the obtained result corresponds to a smaller BER.
Exemplary, as shown in fig. 3c, a performance simulation diagram corresponding to the signal detection method provided by the invention is shown. FIG. 3c is a different viewAnd respectively corresponding BER change curves. In FIG. 3c, at η a,1 ＝1/8，η b,1 =15/8 and N seg，1 When=1, the terminal device uses a linear interpolation function to replace the nonlinear function, and the obtained result corresponds to a smaller BER.
Fig. 3d is a schematic diagram of performance simulation corresponding to the signal detection method provided by the invention. In FIG. 3d, at η a,2 ＝-4，η b,2 =0 and N seg，2 When=1, the terminal device uses a linear interpolation function to replace the nonlinear function, and the obtained result corresponds to a smaller BER.
In some embodiments, the terminal device may store all the values that may be involved in the above in a Look Up Table (LUT) of the register unit. Alternatively, the terminal device may store all the values that may be involved in the above in PLA, which only needs to store the interval, slope and intercept. In this case, the amount of data stored in the terminal device is significantly reduced, so that the storage space can be effectively increased. Compared with the traditional coordinate rotation digital computing (Coordinate Rotation Digital Computer, CORDIC) algorithm, the method for obtaining corresponding data by the terminal equipment based on the PLA can reduce the processing time delay of the whole computing process to a certain extent, namely the processing time of the multiplier and the adder can be reduced to a certain extent.
303. And determining an estimated value corresponding to the transmitted signal according to an estimated formula.
Wherein, the estimation formula isRepresents the estimated value, m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol corresponding to a first position index, m 2 Representing the second position index, ω m2 Second nearest neighbor symbol corresponding to the second position index>Representing a corresponding first target probability of the received signal in the set of modulation symbol constellation points in case of a first nearest neighbor symbol,/for>Representing a corresponding second target probability of the received signal in the set of modulation symbol constellation points in the case of a second nearest neighbor symbol.
Optionally, after step 303, the method may further include: and the terminal equipment transmits an estimated value corresponding to the signal and determines a detection error between the transmitted signal and the output signal.
Optionally, determining the detection error between the transmission signal and the output signal according to the estimated value corresponding to the transmission signal of the terminal device may include: and the terminal equipment determines the detection error between the sending signal and the output signal according to an error formula.
Wherein the error formula isl represents the number of iterations; />Representing the detection error, b i Representing the ith received signal, g, in the matched filtered received signals corresponding to the channel matrix of the terminal device i,j (i, j) th element in a glamer channel matrix G representing a terminal device, g=h T H, H represents the transmission matrix corresponding to the wireless communication channel of the terminal device, < >>Representing the estimated value corresponding to the jth transmitted signal.
It will be appreciated that since the estimated value obtained by the electronic device is relatively accurate, the detection error between the transmitted signal and the output signal determined by the electronic device according to the estimated value is also relatively small.
In the embodiment of the invention, the terminal equipment can detect the transmission signal of the terminal equipment by utilizing the NNA-AMP algorithm. The method is used for solving the problem that in the prior art, the terminal equipment detects the transmission signal of the terminal equipment by using an M-MIMO detection algorithm, and the detection hardware cost corresponding to the detection of the signal is relatively high because the whole signal detection process is relatively complex.
As shown in fig. 4a, a flow chart of a signal detection method provided by the present invention may include:
401. In the process of detecting the transmission signal of the terminal equipment, according to the position index corresponding to the modulation symbol constellation point set, determining the corresponding coding mark of the received signal in the modulation symbol constellation point set.
In the process of detecting the received signal of the terminal equipment, the terminal equipment can use the selector to index m pairs according to the first preset number of positionsDividing to obtain a second preset number of sections, and marking the second preset number of sections with corresponding Gray codes respectively to obtain a second preset number of coding marks F.
The first preset number is, for example, 2 and the second preset number is 6. The terminal equipment can be according to m 1 And m 2 Will beDivided into 6 sections of (- ≡2)]、(-2，-1]、(-1，0]、(0，1]、(1，2](2) the number of the components to be processed, ++ infinity a) is provided; then the terminal device marks the 6 intervals with corresponding Gray codes to obtain 6 code marks F respectively as F 1 、F 2 、F 3 、F 4 、F 5 F (F) 6 。
Alternatively, { F 4 ，F 5 The } may be obtained by MUX-delta included in the selector, { F 1 ，F 2 ，F 3 The selector may be a MUX- Ω selector.
402. And determining a second relation parameter according to the coding mark, and determining a second probability corresponding to the transmission signal in the modulation symbol constellation point set according to the second relation parameter.
Alternatively, the terminal device may calculate a based on the 6 intervals ω Sum s ω 。
Wherein a is ω There will be 3 possible values in different intervals-4, 0 and 4 respectively, and the terminal device can determine a ω Corresponding code flag { F 4 ，F 5 And { F } 4 ，F 5 The gray codes corresponding to the codes are 01 and 11 respectivelyAnd 10; s is(s) ω There will be 2 possible values in different intervals, respectively-2 and 2, the terminal device can determine s ω Corresponding code flag { F 6 And { F } 6 The corresponding gray codes are 0 and 1, respectively. Thus, the terminal device may reduce the first parameter formulation in step 302 to a second parameter formulation.
In some embodiments, the terminal device may simplify the first parameter formula to the second parameter formula and may simplify the first probability formula to the second probability formula, since the terminal itself already uses a linear interpolation function instead of the non-linear function.
Optionally, the determining, by the terminal device, a second relation parameter according to the coding flag, and determining, according to the second relation parameter, a second probability corresponding to the transmission signal in the modulation symbol constellation point set may include: the terminal equipment determines a second relation parameter according to a second parameter formula, and determines a second probability corresponding to the received signal in the modulation symbol constellation point set according to a second probability formula.
Wherein the second parameter formula isl represents the number of iterations, < >>Representing a second relationship parameter, ">Representing the normalization parameter corresponding to the terminal equipment, tau (l) ＝σ n 2 Representing the corresponding noise variance of the terminal equipment, F 4 Representing a first encoded flag, F5 representing a second encoded flag;
the second probability formula isRepresenting a first target probability corresponding to the received signal in the modulation symbol constellation point set under the condition of the first nearest neighbor symbol; />Representing a corresponding second target probability of the received signal in the set of modulation symbol constellation points in the case of a second nearest neighbor symbol.
Alternatively to this, the method may comprise,and->It may be that the terminal device is obtained using an absolute value in the calculator + the calculator.
The terminal device will illustratively interpolate the linear interpolation functionThe quantization slope of (2) is 0.5, and the quantization intercept is-0.125.
At this time, the liquid crystal display device,
403. and determining an estimated value corresponding to the transmitted signal according to an estimated formula.
It should be noted that, in step 403, the process of determining, according to the estimation formula, the estimation value corresponding to the transmission signal by the terminal device is similar to the process of determining, according to the estimation formula, the estimation value corresponding to the transmission signal by the terminal device in step 303 shown in fig. 3, and detailed description thereof is omitted herein.
Due to the first relationship parameter in step 302And s ω Irrelevant, therefore, the terminal device does not need to encode the flag { F }, in the process of simplifying the first parameter formula 6 }. Then, the terminal device can simplify the multiplication operation of the integer constellation into a Shift And Addition (SAA) operation through sub-expression sharing when determining an estimated value corresponding to the transmission signal using the parallel interference canceller.
Exemplary, the electronic device may share the following sub-expressionsReduced to a mean table.
The mean values are shown below:
optionally, after step 303, the method may further include: the terminal equipment determines a mean value corresponding to the received signal based on the probability, and determines a detection error between the transmitted signal and the received signal according to the mean value.
Optionally, the determining, by the terminal device, the average value corresponding to the received signal based on the probability, and determining, according to the average value, the detection error between the transmitted signal and the received signal may include: and the terminal equipment calculates and obtains the average value corresponding to the received signal according to the average value table, and determines the detection error between the transmitted signal and the received signal according to the average value.
That is, the terminal device uses parallel interference cancellers based on different { F } 1 ，F 2 ，F 3 The average value obtained is also different, and then the terminal equipment can accurately determine the detection error corresponding to the received signal according to the average value.
It will be appreciated that since the estimated value obtained by the electronic device is relatively accurate, the detection error between the transmitted signal and the output signal determined by the electronic device according to the estimated value is also relatively small.
In some embodiments, when nr=8 and nt=128 in the M-MIMO apparatus, the modulation mode corresponding to the received signal of the terminal device is 16-QAM. Through simulation verification, the terminal equipment utilizes an AMP algorithm, a NAA-AMP algorithm and an HF-AMP algorithm to detect the received signals, the performance parameters of the terminal equipment are basically consistent under different iteration times of each algorithm, and the terminal equipment is converged under the iteration times L-4, so that the accuracy of detecting the transmission information is improved. Wherein the AMP algorithm can be integrated on the AMP detector, the HF-AMP algorithm can be integrated on the HF-AMP detector, and the HF-AMP algorithm can be integrated on the HF-AMP detector.
Secondly, the terminal device needs to quantify all the variables involved: fig. 4b is a schematic diagram of simulation results provided by the present invention. In FIG. 4b, HF-AMP with 4-bit decimal and 5-bit decimal fraction bit wide suffers from serious performance degradation. HF-AMP with 6-bit fractional bit width almost perfectly restores the performance of floating point HF-AMP. Thus, the HF-AMP quantization scheme is taken to be 1-6-6.
Finally, hardware realization and verification based on the field editable logic gate array (Filed Programmable Gate Array, FPGA) are further completed. The quantized HF-AMP algorithm was implemented using a Xilinx Virtex-7 Ultrascale vu440-flga2892-2-e FPGA.
Finally, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC) implementation on chip is performed, and the HF-AMP detector implements detection of the received signal using SMIC 65nm LL 19 m cmos technology, which is integrated on Design Compiler (Design Compiler) software of Synopsys, inc., and as a result, layout and routing is performed using the Synopsys, inc. Design flow guide (IC Compiler) software. The annotated inversion rate of the gate-level netlist is converted into a switch activity interchange format (Switching Activity Interchange Format, SAIF) of the environment (Prime-Time) PX to measure pure chip power consumption over Time.
Further, the hardware corresponding to the final HF-AMP detector realizes high throughput rate of 10.56Gb/s under 330MHz clock, basically reaches the industry highest level, and ensures the overall power consumption to be 103.76mW. Under the condition of high throughput area ratio of 5.03, the energy consumption of unit bit is ensured to be 9.83pJ/b, the efficient hardware architecture is realized, and the method has the future prospect of green energy conservation.
In the embodiment of the invention, the terminal equipment can detect the transmission signal of the terminal equipment by using an HF-AMP signal detection algorithm. The method is used for solving the problem that in the prior art, the terminal equipment detects the transmission signal of the terminal equipment by using an M-MIMO detection algorithm, and the detection hardware cost corresponding to the detection of the signal is relatively high due to relatively complex whole signal detection process.
The signal detection device provided by the invention is described below, and the signal detection device described below and the signal detection method described above can be referred to correspondingly.
As shown in fig. 5, a schematic structural diagram of a signal detection device provided by the present invention may include:
a selection module 501, configured to determine a target symbol parameter corresponding to a received signal in a process of detecting a transmission signal of a terminal device;
a calculating module 502, configured to determine, according to the target symbol parameter, a probability corresponding to the received signal in a modulation symbol constellation point set;
A parallel interference cancellation module 503, configured to determine an estimated value corresponding to the transmission signal based on the probability.
Optionally, the selecting module 501 is specifically configured to determine, in the modulation symbol constellation point set, a nearest neighbor symbol corresponding to the received signal; or determining a corresponding coding mark of the received signal in the number of the constellation point set of the modulator according to the position index corresponding to the constellation point set of the modulator.
Optionally, the calculating module 502 is specifically configured to determine a first relationship parameter according to the nearest neighbor symbol, and determine a first probability corresponding to the received signal in the modulation symbol constellation point set according to the first relationship parameter.
Optionally, the calculating module 502 is specifically configured to determine a first relationship parameter according to a first parameter formula, and determine a first probability corresponding to the received signal in the modulation symbol constellation point set according to a first probability formula; the first parameter formula isl represents the number of iterations, < >>Representing the first relation parameter, m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol corresponding to the first position index, m 2 Representing the second position index, ω m2 Representing a second nearest neighbor symbol corresponding to the second position index; s is(s) ω ＝ω m2 -ω m1 Representing the difference between the second nearest neighbor symbol and the first nearest neighbor symbol, a ω ＝ω m2 +ω m1 Representing the sum of the second nearest neighbor symbol and the first nearest neighbor symbol, τ (l) ＝σ n 2 Representing the noise variance corresponding to the channel matrix in the terminal device,/->Representing the normalization parameter corresponding to the terminal device, +.>Representing the set of modulation symbol constellation points; the first probability formula is +.>m represents a position index, ">Representing the first probability;representing the probability that the received signal corresponds in the set of modulation symbol constellation points if the position index is the first nearest neighbor symbol.
Optionally, the calculating module 502 is specifically configured to determine a second relationship parameter according to the coding flag, and determine a second probability corresponding to the transmission signal according to the second relationship parameter.
Optionally, the calculating module 502 is specifically configured to determine a second relation parameter according to a second parameter formula, and determine the received signal according to a second probability formulaThe number corresponds to a second probability in the modulation symbol constellation point set; the second parameter formula isl represents the number of iterations, < >>The second relation parameter is represented by a second relation parameter,representing the normalization parameter corresponding to the terminal device, +.>Representing the set of modulation symbol constellation points, τ (l) ＝σ n 2 Representing the noise variance corresponding to the channel matrix in the terminal equipment, F 4 Representing a first encoded flag, F5 representing a second encoded flag; the second probability formula is->m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol corresponding to the first position index, m 2 Representing the second position index, ω m2 A second nearest neighbor symbol representing the second position index,/for>Representing a first target probability corresponding to the received signal in the set of modulation symbol constellation points in the case of the first nearest neighbor symbol; />Representing a corresponding second target probability for the received signal in the set of modulation symbol constellation points in the case of the second nearest neighbor symbol.
Optionally, the parallel interference cancellation module 503 is specifically configured to determine an estimated value corresponding to the transmission signal according to an estimation formula; the estimation formula is Represents the estimated value, m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol corresponding to the first position index, m 2 Representing the second position index, ω m2 A second nearest neighbor symbol representing the second position index,/for>Representing a corresponding first target probability of the received signal in the set of modulation symbol constellation points in case of the first nearest neighbor symbol,/for >Representing a corresponding second target probability for the received signal in the set of modulation symbol constellation points in the case of the second nearest neighbor symbol.
Fig. 6 illustrates a physical schematic diagram of an electronic device, as shown in fig. 6, which may include: processor 610, communication interface (Communications Interface) 620, memory 630, and communication bus 640, wherein processor 610, communication interface 620, and memory 630 communicate with each other via communication bus 640. Processor 610 may include a selector 6101, a calculator 6102, and a parallel interference canceller 6103, and processor 610 may invoke logic instructions in memory 630 to perform a signal detection method, the method comprising: in the process of detecting a transmission signal of a terminal device, determining a target symbol parameter corresponding to a received signal; determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter; based on the probability, an estimated value corresponding to the transmission signal is determined.
Further, the logic instructions in the memory 630 may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of performing the signal detection method provided by the methods described above, the method comprising: in the process of detecting a transmission signal of a terminal device, determining a target symbol parameter corresponding to a received signal; determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter; based on the probability, an estimated value corresponding to the transmission signal is determined.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the signal detection method provided by the above methods, the method comprising: in the process of detecting a transmission signal of a terminal device, determining a target symbol parameter corresponding to a received signal; determining the corresponding probability of the received signal in the modulation symbol constellation point set according to the target symbol parameter; based on the probability, an estimated value corresponding to the transmission signal is determined.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (7)

1. A signal detection method, comprising:
in the process of detecting a transmission signal of a terminal device, determining a nearest neighbor symbol corresponding to a received signal in a modulation symbol constellation point set; determining a first relation parameter according to the nearest neighbor symbol, and determining a first probability corresponding to the received signal in a modulation symbol constellation point set according to the first relation parameter; determining an estimated value corresponding to the transmitted signal based on the first probability; or alternatively, the first and second heat exchangers may be,
under the condition that the corresponding coding mark of the received signal in the number of the modulation symbol constellation point set is determined according to the position index corresponding to the modulation symbol constellation point set, the corresponding probability of the received signal in the modulation symbol constellation point set is determined according to the target symbol parameter; determining an estimated value corresponding to the transmission signal based on the probability;
The determining a first relation parameter according to the nearest neighbor symbol, and determining a first probability corresponding to the received signal in a modulation symbol constellation point set according to the first relation parameter, including:
determining a first relation parameter according to a first parameter formula, and determining a first probability corresponding to the received signal in a modulation symbol constellation point set according to a first probability formula;
the first parameter formula is l represents the number of iterations, < >>Representing the first relation parameter, m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol, m, corresponding to the first position index 2 Representing the second position index, ω m2 Representing a second nearest neighbor symbol corresponding to the second position index; s is(s) ω ＝ω m2 -ω m1 Representing the difference between the second nearest neighbor symbol and the first nearest neighbor symbol, a ω ＝ω m2 +ω m1 Representing the sum of the second nearest neighbor symbol and the first nearest neighbor symbol, τ (l) ＝σ n 2 Representing the noise variance corresponding to the channel matrix in said terminal device,/>Representing the normalization parameters corresponding to the terminal device, < >>Representing the set of modulation symbol constellation points;
the first probability formula ism represents a position index, ">Representing the first probability; / >Representing a probability that the received signal corresponds in the set of modulation symbol constellation points if the position index is the first nearest neighbor symbol.
2. The signal detection method according to claim 1, wherein in the case of determining the coding flag corresponding to the received signal in the number of the set of modulation symbol constellation points according to the position index corresponding to the set of modulation symbol constellation points, the determining the probability corresponding to the received signal in the set of modulation symbol constellation points according to the target symbol parameter includes:
and determining a second relation parameter according to the coding mark, and determining a second probability corresponding to the received signal in a modulation symbol constellation point set according to the second relation parameter.
3. The signal detection method according to claim 2, wherein the determining a second relation parameter according to the code flag, and determining a second probability that the received signal corresponds to in a set of modulation symbol constellation points according to the second relation parameter, comprises:
determining a second relation parameter according to a second parameter formula, and determining a second probability corresponding to the received signal in a modulation symbol constellation point set according to a second probability formula;
The second parameter formulaIs thatl represents the number of iterations, < >>Representing said second relation parameter, +.>Representing the normalization parameters corresponding to the terminal device, < >>Representing the set of modulation symbol constellation points, τ (l) ＝σ n 2 Representing the noise variance corresponding to the channel matrix in the terminal equipment, F 4 Representing a first encoded flag, F5 representing a second encoded flag;
the second probability formula ism 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol, m, corresponding to the first position index 2 Representing the second position index, ω m2 Representing a second nearest neighbor symbol corresponding to the second position index; />Representing a first target probability corresponding to the received signal in the set of modulation symbol constellation points in the case of the first nearest neighbor symbol; />Representing a corresponding second target probability of the received signal in the set of modulation symbol constellation points in the case of the second nearest neighbor symbol.
4. The signal detection method according to claim 3, wherein the determining an estimated value corresponding to the transmission signal based on the probability comprises:
determining an estimated value corresponding to the transmitted signal according to an estimated formula;
the estimation formula is Representing the estimated value, m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol, m, corresponding to the first position index 2 Representing the second position index, ω m2 Representing a second nearest neighbor symbol corresponding to said second position index, ">Representing a corresponding first target probability of the received signal in the set of modulation symbol constellation points in case of the first nearest neighbor symbol,/for>Representing a corresponding second target probability of the received signal in the set of modulation symbol constellation points in the case of the second nearest neighbor symbol.
5. A signal detection apparatus, comprising:
the selection module is used for determining nearest neighbor symbols corresponding to the received signals in a modulation symbol constellation point set in the process of detecting the transmission signals of the terminal equipment;
the calculation module is used for determining a first relation parameter according to the nearest neighbor symbol and determining a first probability corresponding to the received signal in a modulation symbol constellation point set according to the first relation parameter;
the parallel interference elimination module is used for determining an estimated value corresponding to a transmission signal based on the first probability;
the selection module is further configured to determine a coding flag corresponding to the received signal in the number of the set of modulation symbol constellation points according to the position index corresponding to the set of modulation symbol constellation points;
The calculation module is further configured to determine, according to a target symbol parameter, a probability corresponding to the received signal in a modulation symbol constellation point set;
the parallel interference elimination module is used for determining an estimated value corresponding to the transmission signal based on the probability;
the computing module is specifically configured to determine a first relationship parameter according to a first parameter formula, and determine a first probability corresponding to the received signal in a modulation symbol constellation point set according to a first probability formula;
the first parameter formula is l represents the number of iterations, < >>Representing the first relation parameter, m 1 Represents the first position index, ω m1 Representing a first nearest neighbor symbol, m, corresponding to the first position index 2 Representing the second position index, ω m2 Representing a second nearest neighbor symbol corresponding to the second position index; s is(s) ω ＝ω m2 -ω m1 Representing the difference between the second nearest neighbor symbol and the first nearest neighbor symbol, a ω ＝ω m2 +ω m1 Representing the sum of the second nearest neighbor symbol and the first nearest neighbor symbol, τ (l) ＝σ n 2 Representing the noise variance corresponding to the channel matrix in said terminal device,/>Representing the normalization parameters corresponding to the terminal device, < >>Representing the set of modulation symbol constellation points;
The first probability formula ism represents a position index, ">Representing the first probability; />Representing a probability that the received signal corresponds in the set of modulation symbol constellation points if the position index is the first nearest neighbor symbol.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor comprises a selector, a calculator and a parallel interference canceller, the processor implementing the signal detection method according to any one of claims 1 to 4 when executing the program.
7. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the signal detection method according to any one of claims 1 to 4.
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