CN110381003A - The multiuser signal detection method inhibited for peak-to-average force ratio in SCMA-OFDM system - Google Patents

The multiuser signal detection method inhibited for peak-to-average force ratio in SCMA-OFDM system Download PDF

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CN110381003A
CN110381003A CN201910676615.9A CN201910676615A CN110381003A CN 110381003 A CN110381003 A CN 110381003A CN 201910676615 A CN201910676615 A CN 201910676615A CN 110381003 A CN110381003 A CN 110381003A
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CN110381003B (en
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杨霖
张晓宁
岳光荣
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University of Electronic Science and Technology of China
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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
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2614—Peak power aspects
    • H04L27/2621—Reduction thereof using phase offsets between subcarriers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2697—Multicarrier modulation systems in combination with other modulation techniques

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Abstract

The multiuser signal detection method inhibited for peak-to-average force ratio the invention belongs to wireless communication technology field, in specifically a kind of SCMA-OFDM system.Choose for user method is applied to the transmitting terminal of SCMA-OFDM system by the present invention, successfully reduces the PAPR of signal.In view of the sparsity of SCMA-OFDM signal, the present invention is decoded using Message Passing Algorithm in receiving end, and after the characteristic of integrated phase alternative sequence and the characteristic of used SCMA code book the sending probability of each code word can be adjusted in each iterative process of Message Passing Algorithm and finally accurately recover transmission signal in the case where not transmitting side information.Therefore the present invention realizes the blind Detecting for Choose for user algorithm and does not bring the promotion of apparent computation complexity.

Description

The multiuser signal detection method inhibited for peak-to-average force ratio in SCMA-OFDM system
Technical field
The invention belongs to wireless communication technology field, it is related to inhibiting for peak-to-average force ratio in a kind of SCMA-OFDM system Multiuser signal detection method.
Background technique
Under the driving of the high speed development of mobile Internet and internet of things service, the following a large amount of terminal device access and ultimate attainment User experience put forward new requirements and huge challenge to mobile communication.Therefore, in order to meet the needs of future communications, the Five third-generation mobile communication technologies (Fifth Generation, 5G) are come into being, and wherein radio open technology is current 5G research Key areas, in radio open technology, multiple access technique is the hot issue of research.These challenges and hair in 5G Vision is opened up, it is impossible to meet the requirements of future mobile communications development for traditional orthogonal multiple access techniques, so some nonopiate Multiple access technology (Non-orthogonal Multiple Access, NOMA) just is proposed out.Wherein SCMA technology is as one Nonopiate eat dishes without rice or wine technology of the kind towards 5G wireless mobile communications, using nonopiate sparse coding superimposing technique, in identical time-frequency Under resources supplIes, SCMA technology can support more users to connect.The present invention uses OFDM technology, and SCMA block is carried In the orthogonal sub-carriers transmitting data of OFDM.Since OFDM technology has that the PAPR of signal is excessively high, believe in originator Signal can be made to generate non-linear distortion, the final BER performance for deteriorating system when number amplification.Therefore, SCMA-OFDM letter how is reduced Number PAPR and lifting system performance it is particularly important.
Summary of the invention
The object of the present invention is to it is directed to the high PAPR problem of SCMA-OFDM signal, the side inhibited using undistorted PAPR Method, such as: Choose for user algorithm, partial sequence transmission algorithm, to reduce the PAPR of SCMA-OFDM signal, so that signal is passing through Further distortion or distortion as small as possible does not occur when crossing signal amplifier, and is proposed for such PAPR suppressing method Thus Blind Detect Algorithm of the one kind based on Message Passing Algorithm connects avoiding transmission side information while not being significantly increased The computation complexity of receiving end, so that the information transfer efficiency of system increases.
Technical scheme is as follows:
Multiuser signal detection method in SCMA-OFDM system, this method are based on Message Passing Algorithm and are used for uplink Multiuser signal detection in link SCMA-OFDM system, it is assumed that system model is to have J user in a SCMA block K resource is shared, a SCMA-OFDM signal occupies N number of orthogonal sub-carriers namely a SCMA-OFDM signal contains N/K A SCMA block, the number of constellation points that each user uses is M, and the alternative sequence number for the Choose for user algorithm that system uses is S.
The blind checking method the following steps are included:
S1, the parameters that SCMA-OFDM system is arranged, including number of users J, running time-frequency resource K, codebook size M, system are adopted The alternative sequence number of Choose for user algorithm is S, and setting maximum number of iterations is tmax；
The alternative phase sequence of alternative sequence number S generation of S2, the Choose for user algorithm used according to systemAnd it is final true The fixed signal x with minimum PAPR for being used to transmitj。
S3, initial message transfer probability value are as follows:
Wherein,Refer to user node u in factor graphjTo resource node rkInformation updating process, wherein t is iteration Number, xj=(x1,j,x2,j…,xK,j)T∈CKIndicate the code word that j-th of user sends；
S4, setting the number of iterations initial value t=1；
The information updating of S5, resource node, to all resource node rkIt calculates:
Wherein, ykIt is to receive signalSignal received by k-th of running time-frequency resource,Refer to that user saves in factor graph Point upTo resource node rkInformation updating process, ξkIndicate the user being connected in factor graph with resource node k set, ξkJ then The set after user j is removed in expression；
The information updating of S6, user node, to all user node ujIt calculates:
S7, the sending probability that each code word is calculated by obtained information in step S5
Code word sending probability when S7.1, calculating are using positive code book code book:
Code word sending probability when S7.2, calculating are using reverse code book:
S8, phase alternative sequence is estimated by the resulting code word sending probability of step S7, specifically:
S8.1, the sending probability value for calculating each phase alternative sequence on each SCMA block, wherein i is represented i-th SCMA block (can also use Euclidean distance to estimate alternative phase sequence) herein:
Wherein ps,lIt is alternative sequenceFirst of element and ps,l∈(-1,1)。
S8.2, the alternative sequence for being used to handle signal in transmitting terminal using the resulting probability value estimation of step S8.1:
S9, the iteration that the resulting alternative sequence information of step S8 is used for Message Passing Algorithm next time:
Information in S9.1, correcting user node:
S9.2, correction code book:
S10, message iteration update: judging whether t exceeds the maximum number of iterations set in step S1, if t≤tmax, then S5 is entered step, if t > tmax, then termination messages iteration updates and enters step S11；
S11, updated probability distribution, completion Multiuser Detection, to user's progress soft-decision output are utilized are as follows:
Wherein ζjBe indicate in factor graph with the set ζ of the user j resource node being connectedjK then indicate to remove resource node k Set.
Foundation of the invention is, in the transmitting terminal of SCMA-OFDM system, signal signal after the processing of Choose for user method PAPR be effectively suppressed, but in order to accurately recover transmission signal in receiving end, selected alternative sequence is necessary It is sent together as side information, this results in the reductions of efficiency of transmission.Therefore, now with much for Choose for user method Blind Detect Algorithm research, these Blind Detect Algorithms alternative sequence selected in receiving end estimation, although avoiding sideband letter The transmission of breath but the increase for also resulting in decoding complexity simultaneously.And Message Passing Algorithm is that the sparsity based on SCMA code book mentions Low Complexity Decoding Algorithm out, the algorithm can constantly calculate in an iterative process and update the sending probability of each code word, this Invention is exactly the phase alternative sequence for calculating resulting each code word sending probability using the algorithm and estimating to select in receiving end, and It is synchronized when Message Passing Algorithm reaches maximum number of iterations and effectively recovers transmission signal.
The beneficial effects of the present invention are: Choose for user method to be applied to the transmitting terminal of SCMA-OFDM system, successfully reduce The PAPR of signal.In view of the sparsity of SCMA-OFDM signal, the present invention is translated using Message Passing Algorithm in receiving end Code, and sideband letter can be not being transmitted after the characteristic of integrated phase alternative sequence and the characteristic of used SCMA code book In the case where breath, it is final accurate to be adjusted in each iterative process of Message Passing Algorithm to the sending probability of each code word Recover transmission signal.Therefore the present invention realizes the blind Detecting for Choose for user algorithm and does not bring apparent meter Calculate the promotion of complexity.
Detailed description of the invention
Fig. 1 is uplink SCMA-OFDM system block diagram (by taking Choose for user algorithm as an example)；
Fig. 2 is SCMA-OFDM system receiving terminal Blind Detect Algorithm schematic diagram；
Fig. 3 is SCMA coding principle figure；
Fig. 4 is SCMA factor graph.
Specific embodiment
The technical solution that the present invention will be described in detail with reference to the accompanying drawings and examples.
Consider a uplink SCMA-OFDM model of communication system, K frequency domain resource block is by J user occupancy, original It is as shown in Figure 1 to manage block diagram.Firstly, the bit data flow that user generates maps principle according to SCMA code book one by one, by bit data It is mapped as code word to be sent, the coding principle of SCMA is as shown in Figure 2；Secondly, the serial code word of multiple groups by serial to parallel conversion at Parallel data are corresponded onto multiple orthogonal sub-carriers of SCMA-OFDM system, are converted by N point IFFT and are believed frequency domain After number transforming to time-domain signal, then through parallel serial conversion parallel time-domain signal is transformed into serial data, is finally modulated to carrier wave On send.In signal sending end, bitstream data is directly mapped as the multidimensional code word in code book by SCMA, which combines Modulation in conventional orthogonal Multiple Access scheme and the two processes are spread, obtains highly efficient coding mode.In receiving end, The signal that base station receives is the superposition that code word is sent from J different user, and due to the sparsity of code word, base station end is adopted more Low complex degree detection decoding is realized with MPA algorithm.
Assuming that all users be it is synchronous, then the signal that base station end receives can indicate are as follows:
Y=(y in formula1,y2,…,yK)TIndicate the signal that base station end receives, xj=(x1,j,x2,j…,xK,j)TIndicate jth The code word that a user sends, hj=(h1,j,h2,j…,hK,j)TIndicate the channel state information between base station and j-th of user, n= (n1,n2,…,nK)TIt indicates additive white Gaussian noise (additive white Gaussian noise, AWGN), and obeys It is distributed n~CN (0, σ2I)。
It is transmitted since SCMA-OFDM system uses OFDM multi-carrier mode carrying SCMA data, inevitably SCMA-OFDM signal still has the excessively high problem of signal PAPR, therefore in Fig. 1 transmitting terminal, we can be reflected using selection Penetrating algorithm is suppressed in the PAPR of signal under desired value.
Wherein the specific implementation step of Choose for user algorithm is as follows:
1, S mutually independent phase alternative sequence p are firstly generateds=(ps,1,ps,2,...,ps,N)T。
2, signal x will be sentjAnd alternative sequenceOne group of new allied signal is obtained after multiplication:
Xj,s=(xj,1ps,1,xj,2ps,2,...,xj,Nps,N)T(s=1,2...S)
3, time-domain signal is converted for frequency-region signal by IFFT and then calculates the PAPR of each allied signal:
5, resulting PAPR data are calculated according to step 4, the allied signal with minimum PAPR are selected to be transmitted, The signal can indicate are as follows:
Complementary cumulative distribution function (CCDF) be can use to describe by the SCMA- after Choose for user algorithm process The expression formula of the PAPR of ofdm signal, CCDF are as follows:
Pr(PAPR>PAPR0)=p, 0≤p≤1
When carrier number N is sufficiently large, according to central-limit theorem, the real and imaginary parts approximation for emitting signal sampling point meets Gaussian Profile, the amplitude of sampled point meet rayleigh distributed, and probability density can indicate are as follows:
And χ is obeyed in the power distribution of sampled signal2Distribution, and the χ for the unit variance that mean value is 02The power spectrum of distribution Degree can be expressed as p=e-y, we defineTo indicate the sparse degree of SCMA system, therefore process Choose for user algorithm The CCDF of SCMA-OFDM signal after processed is as follows:
Pr(PAPR>PAPR0)=[1- (1-e-PAPR 0)BN]S
From the above equation, we can see that the PAPR that end signal is sent after Choose for user algorithm process has obtained effective inhibition, but with And come problem be: to be decoded in receiving end using Message Passing Algorithm, chosen phase alternative sequenceIt must It must be transmitted to together transmitting terminal as side information, this undoubtedly will lead to the reduction of efficiency of transmission.Therefore a variety of to be reflected for selection The Blind Detect Algorithm for penetrating algorithm is suggested, and one of which is to realize that blind Detecting, process are as follows in receiving end using ML algorithm:
Although blind Detecting may be implemented in above scheme, but the increase of the computation complexity of the following great number is any one A communication system institute is unacceptable.And in view of the receiving end SCMA using Message Passing Algorithm carry out and the algorithm in iteration mistake Need constantly to calculate and update the information of user node in journey, meanwhile, SCMA code book has sparsity and certain symmetry, this Invention proposes a kind of Blind Detect Algorithm based on Message Passing Algorithm and is used to avoid transmission side information and not increase substantially Transmission signal is accurately recovered under the premise of adding complexity.
Embodiment
The present embodiment is tested using Matlab emulation platform.
The purpose of this example is achieved by the steps of:
S1, setting SCMA system parameter.System parameter is as follows in this example: number of users J=6, running time-frequency resource number K=4, overloading The sub-carrier number of wave is N=256, simulated channel AWGN, simulation times 106, maximum number of iterations tmax=6, it is selected Alternative sequence number S=4, alternative sequence element is { 1, -1 }, and used code book is as shown in the table:
S2, the random alternative phase sequence p for generating S mutually independent length and being Ns, wherein element is { 1, -1 }.
S3, S phase sequence is pressed into element multiplication with the transmission signal of generation respectively, it may be assumed that
Xj,s=(xj,1ps,1,xj,2ps,2,...,xj,Nps,N)T(s=1,2...S)
S4, IFFT operation is carried out to calculating resulting allied signal in step S3, frequency-region signal is converted into time-domain signal:
S5, the PAPR for calculating S allied signal, and the signal with minimum PAPR is selected to emulate mould by Gaussian channel Type.
S6, initial message transfer probability value are as follows:
Wherein,Refer to user node u in factor graphjTo resource node rkInformation updating process, wherein t is iteration Number, xj=(x1,j,x2,j…,xK,j)T∈CKIndicate the code word that j-th of user sends；
S7, setting the number of iterations initial value t=1；
S8, message iteration update: judging whether t exceeds the maximum number of iterations set in step S1, if t≤tmax, then into Enter step S9, if t > tmax, then termination messages iteration updates and enters step S15；
S9, according to factor graph F (t) (Fig. 3) to the information updating of resource node, to all resource node rkIt calculates:
Wherein, ykIt is to receive signal received by k-th of running time-frequency resource of signal Y,Refer to that user saves in factor graph Point upTo resource node rkInformation updating process, ξkIndicate the user being connected in factor graph with resource node k set, ξkJ then The set after user j is removed in expression；
S10, the information updating that user node is carried out according to factor graph F (t) (Fig. 3), to all user node ujIt calculates:
S11, the sending probability that each code word is calculated by obtained information in step S10
Code word sending probability when S11.1, calculating are using positive code book code book:
Code word sending probability when S11.2, calculating are using reverse code book:
S12, phase alternative sequence is estimated by the resulting code word sending probability of step S10, specifically:
S12.1, the sending probability value for calculating each phase alternative sequence on each SCMA block, wherein i is represented i-th SCMA block:
S12.2, the alternative sequence for being used to handle signal in transmitting terminal using the resulting probability value estimation of step S12.1:
S13, the iteration that the resulting alternative sequence information of step S8 is used for Message Passing Algorithm next time:
Information in S13.1, correcting user node:
S13.2, correction code book:
S14, the number of iterations update: t=t+1 and return step S8；
S15, updated probability distribution, completion Multiuser Detection, to user's progress soft-decision output are utilized are as follows:
Wherein ζjBe indicate in factor graph with the set ζ of the user j resource node being connectedjK then indicate to remove resource node k Set.
Emulation testing is carried out using the method for the invention.We compared proposed decoding algorithm and traditional transmission The BER performance of side information decoding algorithm.It can be appreciated that the decoding algorithm of mentioned algorithm comparison transmission side information, BER Performance only has slight loss in low signal-to-noise ratio, the algorithm BER performance proposed under high s/n ratio and transmission sideband The BER performance of the decoding algorithm of information compares no any gap.Because the algorithm is to alternative sequence with the increase of signal-to-noise ratio Estimation it is more and more accurate, when the estimation of alternative sequence without mistake when its performance theoretically should be equal to transmission sideband letter The decoding algorithm of breath.And compared with the algorithm for carrying out blind Detecting using ML mode, algorithm advantage proposed in the present invention is Estimation procedure to alternative sequence is the synchronous progress during decoding of message process algorithm, therefore is disappeared relative to tradition Pass-algorithm is ceased, the computation complexity of the algorithm is not significantly increased.

Claims (1)

  1. The multiuser signal detection method inhibited for peak-to-average force ratio in 1.SCMA-OFDM system, system model are at one There is K resource of J user sharing in SCMA block, a SCMA-OFDM signal occupies N number of orthogonal sub-carriers namely one SCMA-OFDM signal contains N/K SCMA block, and the number of constellation points that each user uses for M, reflect by the selection that system uses The alternative sequence number for penetrating algorithm is S；The detection algorithm the following steps are included:
    S1, the parameters that SCMA-OFDM system is arranged are used including number of users J, running time-frequency resource K, codebook size M, system The alternative sequence number of Choose for user algorithm is S, and setting maximum number of iterations is tmax；
    The alternative phase sequence p of alternative sequence number S generation of S2, the Choose for user algorithm used according to systems=(ps,1, ps,2,...,ps,N)TAnd finally determine the signal x with minimum PAPR for being used to transmitj；
    S3, initial message transfer probability value are as follows:
    Wherein,Refer to user node u in factor graphjTo resource node rkInformation updating process, wherein t is iteration time Number, xj=(x1,j,x2,j…,xK,j)T∈CKIndicate the code word that j-th of user sends；
    S4, setting the number of iterations initial value t=1；
    The information updating of S5, resource node, to all resource node rkIt calculates:
    Wherein, ykIt is to receive signalSignal received by k-th of running time-frequency resource,Refer to user node u in factor graphp To resource node rkInformation updating process, ξkIndicate the user being connected in factor graph with resource node k set, ξkJ then indicate Set after removing user j；
    The information updating of S6, user node, to all user node ujIt calculates:
    S7, the sending probability that each code word is calculated by obtained information in step S5
    Code word sending probability when S7.1, calculating are using positive code book code book:
    Code word sending probability when S7.2, calculating are using reverse code book:
    S8, phase alternative sequence is estimated by the resulting code word sending probability of step S7, specifically:
    S8.1, the sending probability value for calculating each phase alternative sequence on each SCMA block, wherein i represents i-th of SCMA Block:
    S8.2, the alternative sequence for being used to handle signal in transmitting terminal using the resulting probability value estimation of step S8.1:
    S9, the iteration that the resulting alternative sequence information of step S8 is used for Message Passing Algorithm next time:
    Information in S9.1, correcting user node:
    S9.2, correction code book:
    S10, message iteration update: judging whether t exceeds the maximum number of iterations set in step S1, if t≤tmax, then enter Step S5, if t > tmax, then termination messages iteration updates and enters step S11；
    S11, updated probability distribution, completion Multiuser Detection, to user's progress soft-decision output are utilized are as follows:
    Wherein ζjBe indicate in factor graph with the set ζ of the user j resource node being connectedjK then indicate to remove the collection of resource node k It closes.
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