CN108418654B - Signal detection method and device - Google Patents

Signal detection method and device Download PDF

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CN108418654B
CN108418654B CN201710071795.9A CN201710071795A CN108418654B CN 108418654 B CN108418654 B CN 108418654B CN 201710071795 A CN201710071795 A CN 201710071795A CN 108418654 B CN108418654 B CN 108418654B
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pdma
sfbc
target user
channel response
equivalent channel
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CN108418654A (en
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任斌
邢艳萍
赵铮
李铁
康绍莉
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China Academy of Telecommunications Technology CATT
Datang Mobile Communications Equipment Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H04L1/0048—Decoding adapted to other signal detection operation in conjunction with detection of multiuser or interfering signals, e.g. iteration between CDMA or MIMO detector and FEC decoder
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H04L1/005—Iterative decoding, including iteration between signal detection and decoding operation

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Abstract

The invention provides a signal detection method and a device, wherein the signal detection method comprises the following steps: determining a PDMA (data packet error rate) receiving signal vector received by the target user on all receiving antennas and all actual physical resource units according to a PDMA combined equivalent channel response matrix of SFBC (multiple data rate coding) on each actual physical resource unit, determining a PDMA receiving signal vector received by the target user on all receiving antennas and all actual physical resource units according to a PDMA combined equivalent channel response matrix of SFBC and a PDMA receiving signal vector on each actual physical resource unit, and performing joint detection according to the PDMA combined equivalent channel response matrix of SFBC and the PDMA receiving signal vector to obtain an LLR (log) of the target user, and decoding the LLR to obtain source bit information of the target user. The scheme of the invention can realize the detection of the target user by utilizing the multi-beam information.

Description

Signal detection method and device
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a signal detection method and apparatus.
Background
With the continuous Evolution of the downlink Multiple Input Multiple Output (MIMO) technology of Long Term Evolution (Long Term Evolution, LTE)/Long Term Evolution enhancement (Long Term Evolution-Advanced, LTE-a), the number of antennas in the communication system increases, the codebook is enhanced, and the multi-user support is gradually improved. Currently, the downlink multi-antenna technology of LTE/LTE-a includes Code book-based precoding and beamforming modes of open-loop Space-Frequency Block Code (SFBC), Cyclic Delay Diversity (CDD), closed-loop Single User MIMO (SU-MIMO) and multi-User MIMO (MU-MIMO). SFBC is a typical downlink transmission mode, and all current downlink transmission modes including SFBC are based on an orthogonal multiple access mechanism.
In order to meet the requirement of supporting more users in the same cell in the future, a non-orthogonal multiple access mode needs to be superposed on the existing MIMO mode. The Pattern Division Multiple Access (PDMA) is a new type of non-orthogonal Multiple Access technology, which utilizes the asymmetry of multi-user channels, and realizes the multi-dimensional non-orthogonal signal superposition transmission in time-frequency domain, power domain, space domain and so on by designing the sparse coding matrix and coding modulation joint optimization scheme of multi-user unequal diversity, so as to obtain higher multi-user multiplexing and diversity gain.
The PDMA can be mapped on a plurality of signal domains such as a code domain, a power domain, a space domain and the like of basic time frequency resources to form a non-orthogonal characteristic pattern for distinguishing multiple users. For the coding domain, the basic concept is that multiple users transmit by superposition on the same time-frequency resource by using the columns of the coding matrix; for the power domain, the basic concept is that multiple users occupy the same time-frequency resource but overlap on the transmission power; for the spatial domain, the basic concept is that the multi-user data streams are spatially superimposed.
However, at present, for a downlink multi-antenna transmission system, there is no implementation scheme related to the PDMA technology adopted in the existing SFBC mode, and there is no correlation method for enabling a signal receiving end to detect a user on the premise that a signal transmitting end processes multi-user data based on a combination mode of the PDMA technology and the MIMO mode of the SFBC.
Disclosure of Invention
The invention aims to provide a signal detection method and a signal detection device, which can realize user detection on the premise that a signal receiving end processes multi-user data in a mode of combining a PDMA (packet data multiple access) technology and an SFBC (small form-factor code block) based MIMO (multiple input multiple output) mode at a signal transmitting end.
In order to achieve the above object, in one aspect, the present invention provides a signal detection method, including:
determining an equivalent channel response matrix of PDMA (data packet access) combined with SFBC (pseudo-wideband code block code) of all users on all actual physical resource units, wherein the PDMA is obtained by the target user from a transmitting antenna to a receiving antenna on each actual physical resource unit;
determining PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units according to the received signals of the target user on each actual physical resource unit from the transmitting antennas to the receiving antennas;
performing joint detection according to the PDMA combined with an equivalent channel response matrix of SFBC and a PDMA received signal vector to obtain a log-likelihood ratio LLR of the target user;
and decoding the LLR to obtain the information source bit information of the target user.
Preferably, after the step of obtaining the LLR of the target user by performing the joint detection according to the PDMA combined with the equivalent channel response matrix of the SFBC and the PDMA received signal vector, and before the step of decoding the LLR to obtain the source bit information of the target user, the method further includes:
according to the modulation order and the constellation mapping mode of the target user, carrying out negative sign taking processing on the corresponding bit position of the LLR;
the decoding the LLR to obtain the source bit information of the target user includes:
and decoding the processed LLR to obtain the information source bit information of the target user.
Preferably, the step of determining, according to the channel response of the target user from the transmit antenna to the receive antenna on each actual physical resource unit, an equivalent channel response matrix of PDMA combining SFBC of all users from the transmit antenna to the receive antenna on all actual physical resource units obtained by the target user includes
Determining an SFBC equivalent channel response matrix of the target user on all receiving antennas and two basic actual physical resource units according to the channel response of the target user from the transmitting antenna to the receiving antenna on each actual physical resource unit;
and determining the equivalent channel response matrix of the PDMA combined with the SFBC, which is obtained by the target user, according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix.
Preferably, the step of determining the PDMA combined SFBC equivalent channel response matrix obtained by the target user according to the PDMA coding matrix, the PDMA power allocation matrix, and the SFBC equivalent channel response matrix includes:
according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix, determining the PDMA combined SFBC equivalent channel response matrix according to the following formula I:
Figure BDA0001223028190000031
wherein the content of the first and second substances,
Figure BDA0001223028190000032
representing the equivalent channel response matrix of the PDMA obtained by the target user k in combination with the SFBC,
Figure BDA0001223028190000033
the SFBC equivalent channel response matrix representing the target user k,
Figure BDA0001223028190000039
the direct product is represented by the direct product,
Figure BDA0001223028190000034
PDMA coding matrix representing K users on N time frequency resources, each time frequency resource comprises two actual physical resource units,
Figure BDA0001223028190000035
a PDMA power allocation matrix representing K users, where only the main diagonal elements have values.
Preferably, the SFBC equivalent channel response matrix is related to a multiple-input multiple-output MIMO precoding matrix based on SFBC in a signal transmitting end encoding process.
Preferably, the PDMA is expressed by the following formula two in combination with a correspondence relationship between an equivalent channel response matrix of the SFBC and a PDMA received signal vector:
Figure BDA0001223028190000036
wherein the content of the first and second substances,
Figure BDA0001223028190000037
the PDMA representing the target user k receives the signal vector,
Figure BDA0001223028190000038
an equivalent channel response matrix, X, representing the combination of the PDMA obtained by the target user k and the SFBCPDMA,SFBCAnd representing SFBC equivalent transmission modulation signal vectors of all users, wherein the modulation orders of all users are embodied, and N represents interference signals and additive white Gaussian noise AWGN of the adjacent cells.
Preferably, the step of obtaining the log-likelihood ratio LLR of the target user by performing joint detection on the PDMA in combination with the equivalent channel response matrix of the SFBC and the PDMA received signal vector includes:
and inputting the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector into a belief propagation BP detector or a belief propagation-iterative decoding BP-IDD detector for joint detection to obtain the LLR of the target user.
Preferably, the step of obtaining the LLR of the target user by performing joint detection on the PDMA in combination with the equivalent channel response matrix of the SFBC and the PDMA received signal vector includes:
and performing joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC, a PDMA received signal vector and interference noise power to obtain the LLR of the target user.
In another aspect, the present invention further provides a signal detection apparatus, including:
a first determining module, configured to determine, according to a channel response from a transmitting antenna to a receiving antenna on each actual physical resource unit of a target user, an equivalent channel response matrix, obtained by the target user, of PDMA of all users from the transmitting antenna to the receiving antenna on all actual physical resource units in combination with SFBC;
a second determining module, configured to determine, according to a received signal from a transmitting antenna to a receiving antenna on each actual physical resource unit of the target user, PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units;
a joint detection module, configured to perform joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector to obtain an LLR of the target user;
and the decoding module is used for decoding the LLR to obtain the information source bit information of the target user.
Preferably, the signal detection device further includes:
the processing module is used for carrying out negative sign taking processing on the corresponding bit position of the LLR according to the modulation order and the constellation mapping mode of the target user;
the coding module is specifically configured to: and decoding the processed LLR to obtain the information source bit information of the target user.
Preferably, the first determining module includes:
a first determining unit, configured to determine, according to a channel response of the target user from a transmitting antenna to a receiving antenna on each actual physical resource unit, an SFBC equivalent channel response matrix of the target user on all receiving antennas and two basic actual physical resource units;
and a second determining unit, configured to determine, according to a PDMA coding matrix, a PDMA power allocation matrix, and the SFBC equivalent channel response matrix, an equivalent channel response matrix of the PDMA combined with the SFBC obtained by the target user.
Preferably, the second determining unit is specifically configured to:
according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix, determining the PDMA combined SFBC equivalent channel response matrix according to the following formula I:
Figure BDA0001223028190000051
wherein the content of the first and second substances,
Figure BDA0001223028190000052
representing the equivalent channel response matrix of the PDMA obtained by the target user k in combination with the SFBC,
Figure BDA0001223028190000053
the SFBC equivalent channel response matrix representing the target user k,
Figure BDA0001223028190000059
the direct product is represented by the direct product,
Figure BDA0001223028190000054
PDMA coding matrix representing K users on N time frequency resources, each time frequency resource comprises two actual physical resource units,
Figure BDA0001223028190000055
a PDMA power allocation matrix representing K users, where only the main diagonal elements have values.
Preferably, the SFBC equivalent channel response matrix is related to a multiple-input multiple-output MIMO precoding matrix based on SFBC in a signal transmitting end encoding process.
Preferably, the PDMA is expressed by the following formula two in combination with a correspondence relationship between an equivalent channel response matrix of the SFBC and a PDMA received signal vector:
Figure BDA0001223028190000056
wherein the content of the first and second substances,
Figure BDA0001223028190000057
the PDMA representing the target user k receives the signal vector,
Figure BDA0001223028190000058
an equivalent channel response matrix, X, representing the combination of the PDMA obtained by the target user k and the SFBCPDMA,SFBCSFBC equivalent transmit modulation signal vector representing all users, in which modulation of all users is embodiedThe order, N, represents the interference signal of the neighbor cell and the additive white gaussian noise AWGN.
Preferably, the joint detection module is specifically configured to:
and inputting the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector into a belief propagation BP detector or a belief propagation-iterative decoding BP-IDD detector for joint detection to obtain the LLR of the target user.
Preferably, the joint detection module is specifically configured to:
and performing joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC, a PDMA received signal vector and interference noise power to obtain the LLR of the target user.
The signal detection method can enable the signal receiving end to utilize the multi-beam information to realize the detection of the information source bit information of the target user on the premise that the signal transmitting end processes multi-user data in a mode of combining the PDMA technology and the SFBC MIMO mode, and the detection performance of the downlink multi-antenna transmission system is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a flowchart illustrating a method for a signal transmitting end to process multi-user data based on a combination of a PDMA technology and an SFBC MIMO mode in an embodiment of the present invention.
Fig. 2 shows a block diagram of implementing PDMA and SFBC-based MIMO precoding in an embodiment of the present invention.
Fig. 3 shows a flow chart of a signal detection method according to an embodiment of the invention.
Fig. 4 is a schematic diagram of transmission of a combination of downlink PDMA and 2 × 2SFBC of a user k according to a first embodiment of the present invention.
Fig. 5 is a schematic diagram of a received signal model of a combination of a downlink PDMA and a 2 × 2SFBC according to a first embodiment of the present invention.
Fig. 6 is a schematic diagram illustrating transmission of a combination of downlink PDMA and 2 × 2SFBC of a user k in an example two according to the embodiment of the present invention.
Fig. 7 is a schematic structural diagram of a signal detection device according to an embodiment of the present invention.
Fig. 8 is a schematic structural diagram of a signal receiving end according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
First, a downlink multi-antenna transmission system in the embodiment of the present invention includes a signal transmitting end and a signal receiving end. The signal sending end can process multi-user data based on a mode of combining a PDMA technology and an SFBC MIMO mode, and therefore, the PDMA technology distinguishes multiple users by combining an encoding domain, a power domain and a space domain of time-frequency resources, and compared with the existing SFBC mode, the mode of combining the PDMA technology and the SFBC MIMO mode can further improve the number of access users. The signal receiving end mainly corresponds to the detection of a user (i.e., a user terminal).
Next, a procedure of processing multi-user data by combining the PDMA technology and the MIMO mode of SFBC at the signal transmitting end is described with reference to fig. 1 and fig. 2.
Referring to fig. 1, a flowchart of processing multi-user data by a signal transmitting end based on a combination of a PDMA technology and an SFBC MIMO mode in the embodiment of the present invention is shown. The process of processing the multi-user data by the signal sending end comprises the following steps:
step1, at the signal sending end, after the multi-user data is channel coded, PDMA coding modulation is carried out; the PDMA coded modulation can adopt the traditional modulation constellation mapping, and can also carry out new coded modulation according to the used PDMA coding pattern;
step2, performing PDMA power distribution on the channel data of each channel by taking the PDMA code word as a unit; wherein, the power of each user data can be adjusted according to the power control indicated by the base station, and different powers can be allocated to the user data corresponding to each PDMA pattern by one user;
step3, mapping the PDMA code word modulation symbol of each channel data to the MIMO layer; the PDMA code modulation symbols after power adjustment are mapped to one or more transmission layers (layers), where the total number of transmission layers is L, and the mapping can be performed according to the existing LTE rule;
step4, after mapping is finished, MIMO pre-coding based on SFBC is carried out; in this precoding procedure, the same SFBC-based MIMO precoding matrix is used on all frequency domain resources, corresponding to that in FIG. 2
Figure BDA0001223028190000071
Step5, after MIMO pre-coding based on SFBC, PDMA resource mapping is carried out on channel data of each channel; in the PDMA resource mapping, the PDMA code word is mapped to a corresponding time frequency Resource (RB) of the PDMA time frequency resource group according to the indication of the PDMA coding matrix, as shown in fig. 2; for example, the PDMA coding matrix may be
Figure BDA0001223028190000072
2 time frequency resources are adopted to transmit 3 users, wherein '1' represents mapping, and '0' represents non-mapping;
step6, performing Orthogonal Frequency Division Multiplexing (OFDM) modulation on each path of data after resource mapping, generating and transmitting an OFDM signal; i.e. OFDM signals for each antenna port are generated.
Compared with the traditional orthogonal SFBC-based MIMO mode, the introduction of the PDMA technology needs to add PDMA coding modulation, PDMA power allocation, PDMA code modulation symbol to MIMO layer mapping, PDMA resource mapping and the like to a signal sending end. Wherein the PDMA codeword corresponds to the PDMA coding momentArray of arrays, the PDMA encoding matrix being denoted
Figure BDA0001223028190000081
N represents the total resource number for PDMA resource mapping, and K represents the number of users multiplexed on N resources.
It should be noted that fig. 2 is a block diagram of an implementation of PDMA and SFBC-based MIMO precoding in the embodiment of the present invention. For the open-loop SFBC transmission mode, the data layers of K users using different PDMA code words are superposed on N time-frequency resources, and the power p of the data layer of each PDMA code word is adjustedkThe purpose of sending data to a plurality of user terminals at the same time can be achieved.
After the description of the processing procedure at the signal transmitting end, the following description will be made of the detection procedure at the signal receiving end.
In the embodiment of the present invention, the signal receiving end mainly corresponds to the detection of the user terminal, including but not limited to the following two detection methods: a detection method based on a belief propagation BP detector and a detection method based on a belief propagation-iterative decoding BP-IDD detector.
Referring to fig. 3, an embodiment of the present invention provides a signal detection method, applied to a signal receiving end, including the following steps:
step 301: determining an equivalent channel response matrix of PDMA (data packet access) combined with SFBC (pseudo-wideband code block code) of all users on all actual physical resource units, wherein the PDMA is obtained by the target user from a transmitting antenna to a receiving antenna on each actual physical resource unit;
step 302: determining PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units according to the received signals of the target user on each actual physical resource unit from the transmitting antennas to the receiving antennas;
step 303: performing joint detection according to the PDMA combined with an equivalent channel response matrix of SFBC and a PDMA received signal vector to obtain a log-likelihood ratio LLR of the target user;
step 304: and decoding the LLR to obtain the information source bit information of the target user.
Thus, the signal detection method of the embodiment of the invention obtains the LLR of the target user by determining the PDMA combined with the SFBC equivalent channel response matrix and the PDMA received signal vector, and performing joint detection according to the PDMA combined with the SFBC equivalent channel response matrix and the PDMA received signal vector to obtain the LLR of the target user, and decodes the obtained LLR to obtain the information source bit information of the target user, so that the signal receiving end can utilize multi-beam information to realize user detection on the premise that the signal transmitting end processes multi-user data based on the PDMA technology and the SFBC MIMO mode combined mode, and the detection performance of the downlink multi-antenna transmission system is improved.
In the embodiment of the present invention, the process of determining the equivalent channel response matrix of the PDMA combined with the SFBC obtained by the target user by the signal receiving end specifically includes:
determining an SFBC equivalent channel response matrix of the target user on all receiving antennas and two basic actual physical resource units according to the channel response of the target user from the transmitting antenna to the receiving antenna on each actual physical resource unit;
and determining the equivalent channel response matrix of the PDMA combined with the SFBC obtained by the target user according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix.
The physical resource units are components of time-frequency resources, and each time-frequency resource generally corresponds to two physical resource units. The basic actual physical resource unit is specifically a set standard of all actual physical resource units, and a fixed frequency offset exists between the basic actual physical resource unit and the non-basic actual physical resource unit. For example, for the basic actual physical resource unit 2i and the non-basic actual physical resource unit 2j, the corresponding relationship between the two may be 2 j-2 i +2 × dela _ F, where 2 × dela _ F represents a fixed frequency offset, and the value of dela _ F is an integer greater than or equal to 1.
The SFBC equivalent channel response matrix is related to an SFBC-based MIMO precoding matrix in the encoding process of a signal transmitting end, namely the SFBC equivalent channel response matrix is obtained byDescribed in
Figure BDA0001223028190000091
And (4) obtaining.
And the signal receiving end determines the mode of combining the PDMA obtained by the target user with the equivalent channel response matrix of the SFBC according to the PDMA coding matrix, the PDMA power distribution matrix and the equivalent channel response matrix of the SFBC specifically as follows:
according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix, determining the equivalent channel response matrix of the PDMA combined with the SFBC according to the following formula I:
Figure BDA0001223028190000092
wherein the content of the first and second substances,
Figure BDA0001223028190000093
representing the equivalent channel response matrix of the PDMA obtained by the target user k in combination with the SFBC,
Figure BDA0001223028190000094
the SFBC equivalent channel response matrix representing the target user k,
Figure BDA0001223028190000095
the direct product is represented by the direct product,
Figure BDA0001223028190000096
PDMA coding matrix representing K users on N time frequency resources, each time frequency resource comprises two actual physical resource units,
Figure BDA0001223028190000101
a PDMA power allocation matrix representing K users, where only the main diagonal elements have values.
In the embodiment of the present invention, the PDMA may be represented by the following formula two in combination with the correspondence between the SFBC equivalent channel response matrix and the PDMA received signal vector:
Figure BDA0001223028190000102
wherein the content of the first and second substances,
Figure BDA0001223028190000103
the PDMA representing the target user k receives the signal vector,
Figure BDA0001223028190000104
an equivalent channel response matrix, X, representing the combination of the PDMA obtained by the target user k and the SFBCPDMA,SFBCAnd representing SFBC equivalent transmission modulation signal vectors of all users, wherein the modulation orders of all users are embodied, and N represents interference signals and additive white Gaussian noise AWGN of the adjacent cells.
In the embodiment of the invention, due to the particularity of the equivalent channel response matrix after combining the PDMA coding matrix and the SFBC, the modulation order and the specific constellation mapping mode of the target user, the LLR of the target user obtained after the joint detection usually has a difference with the real LLR, and in order to obtain the real LLR, the negative sign operation needs to be carried out on the LLR of the corresponding bit position. For example, for QPSK and 16QAM modulation, when Gray mapping is used, the LLR corresponding to the second bit position of the modulation symbol takes a negative sign.
Therefore, the signal detection method according to the embodiment of the present invention, after obtaining the LLR of the target user and before decoding the obtained LLR, further includes:
and carrying out negative sign taking processing on the corresponding bit position of the LLR according to the modulation order and the constellation mapping mode of the target user.
And decoding the obtained LLR to obtain the information source bit information of the target user, specifically:
and decoding the processed LLR to obtain the information source bit information of the target user.
In the embodiment of the present invention, the method for performing joint detection at the signal receiving end specifically includes:
and inputting the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector into a BP detector or a BP-IDD detector for joint detection to obtain the LLR of the target user.
Further, in order to improve the detection accuracy, when the signal receiving end performs the joint detection, the interference noise power may be considered in addition to the PDMA combining the equivalent channel response matrix of the SFBC and the PDMA received signal vector. Namely, when the signal receiving end performs joint detection, joint detection can be performed according to the PDMA in combination with the equivalent channel response matrix of the SFBC, the PDMA received signal vector and the interference noise power, so as to obtain the LLR of the target user.
The following describes the signal detection process of example one and example two in the embodiment of the present invention, taking the BP detector and the BP-IDD detector as examples.
Example one
In an example one, a BP detector (i.e. a BP-based iterative detector) is adopted, downlink antennas are configured to be 2 × 2, SFBC transmission is adopted, and a PDMA coding matrix adopts 2 time-frequency resources to transmit 3 users (2 RU 3UE for short), i.e. 3 UEs
Figure BDA0001223028190000111
The user modulation mode is QPSK, Gray mapping is adopted; the same SFBC-based MIMO precoding matrix is adopted by 3 users at the signal transmitting end, namely
Figure BDA0001223028190000112
If the downlink antenna is configured to be 2 x2, SFBC is adopted for transmission, and PDMA coding matrix adopts
Figure BDA0001223028190000113
Then, a schematic diagram of the transmission of the downlink PDMA and 2 × 2SFBC combined by the user k is shown in fig. 4, and a schematic diagram of the received signal model of the downlink PDMA and 2 × 2SFBC combined is shown in fig. 5.
In fig. 4, Tx1 and Tx2 are two transmit antennas, and Rx1 and Rx2 are two receive antennas; of the 2 time-frequency resources, time-frequency resource 1 corresponds to actual physical resource elements RE 2i and RE (2i +1), and time-frequency resource 2 corresponds to actual physical resource elements RE 2j and RE (2j + 1); specifically, RE 2i and RE (2i +1) are the basic physical resource units, and RE 2j and RE 2i are stored in the same memoryAt a fixed frequency offset, there is a fixed frequency offset between RE (2j +1) and RE (2i + 1). Therein
Figure BDA0001223028190000114
Indicating the channel response of user k from transmit antenna 1 to receive antenna 1 on the 2 i-th RE,
Figure BDA0001223028190000115
indicating the channel response of user k on the 2 j-th RE, from transmit antenna 2 to receive antenna 1, and so on.
In the context of figure 5, it is shown,
Figure BDA0001223028190000116
PDMA codeword modulation symbols, h, after power allocation of PDMA pattern for modulation symbols representing 3 userskA channel response vector ( k 1,2,3) from the base station (eNB) to the User (User) k is indicated. To is directed at
Figure BDA0001223028190000117
Each element "1" in (1) represents 1 time-frequency resource, which corresponds to two REs, wherein the time-frequency resource 1 occupied by the user 1 corresponds to RE 2i and RE (2i +1), and the time-frequency resource 2 occupied by the user 1 corresponds to RE 2j and RE (2j +1), and occupies 4 REs in total; user 2 only occupies 2 REs corresponding to time-frequency resource 1, namely RE 2i and RE (2i + 1); user 3 only occupies 2 REs corresponding to time-frequency resource 2, i.e. RE 2j and RE (2j + 1).
Each downlink user respectively experiences different channels, and BP multi-user iterative detection processing is respectively carried out on own received signals. Without loss of generality, the signal detection process in the first example is illustrated by taking user k (k ═ 1,2,3) as an example.
Step1, determining the equivalent channel response matrix of the combination of the downlink PDMA of the user k and the SFBC
Figure BDA0001223028190000121
And receiving the signal vector
Figure BDA0001223028190000122
Wherein is made ofPDMA and SFBC combined received signal vector received by user k on 4 RE and 2 receiving antennas
Figure BDA0001223028190000123
And
Figure BDA0001223028190000124
transmitting modulated signal vector X equivalent to SFBCPDMA,SFBCCan be expressed as formulas (1) and (2), and the interference noise power sigma is estimated2。
It is noted that at the signal receiving end, it is known that
Figure BDA0001223028190000125
And the modulation order (corresponding to X) adopted by each userPDMA,SFBCValue range of) obtained by the estimation algorithm
Figure BDA0001223028190000126
And interference noise power σ2What needs to be solved is the SFBC equivalent transmission modulation signal vector X of each userPDMA,SFBCAnd corresponding source bit information.
Figure BDA0001223028190000127
Figure BDA0001223028190000128
Wherein the content of the first and second substances,
Figure BDA0001223028190000129
representing the PDMA obtained by user k, 3 users on 4 REs, arriving from 2 transmit antennas to 2 receive antennas, combined with the equivalent channel response matrix of SFBC, with dimension 8 x 6;
Figure BDA0001223028190000131
SFBC equivalent channel response matrix representing user k over 2 receive antennas and 2 REs (i.e., RE (2i) and RE (2i +1)), with dimension 4 x 2;
Figure BDA0001223028190000132
representing a direct product operation.
Figure BDA0001223028190000133
Denotes the channel response of user k at the e-th RE from the transmit antenna t to the receive antenna r, the superscript e denotes the RE number (corresponding to 2i, 2i +1, 2j, 2j +1 in FIG. 4), t denotes the transmit antenna number, r denotes the receive antenna number, the superscript k denotes the user number, p denotes the receive antenna numberkRepresenting the power allocated to user k.
Figure BDA0001223028190000134
Representing the PDMA received signal vector received by user k over 4 REs and 2 receive antennas, with dimension 8 x1,
Figure BDA0001223028190000135
this indicates that the PDMA reception signal received by the user k on the 2 i-th RE and 1 st reception antenna.
Figure BDA0001223028190000136
Represents SFBC equivalent transmission modulation signal vector of 3 users in 2 continuous modulation symbol time, and the dimension is 6 x1, x(k)(i) Denotes the modulation symbol of user k in the ith modulation symbol time, where k is 1,2, and 3.
N denotes interference signals and AWGN noise of neighboring cells.
Step2, obtaining the product based on the formula (2)
Figure BDA0001223028190000137
And interference noise power σ2And sending the data to a BP detector for detection, and outputting LLR (bit-LLR) of the user k.
Wherein, according to the above equations (1) and (2), PDMA received signal vector is given at the signal receiving end
Figure BDA0001223028190000138
And PDMA junctionEquivalent channel response matrix combined with SFBC
Figure BDA0001223028190000139
Under conditions, the optimal MAP solution may be:
Figure BDA00012230281900001310
equivalent transmit modulation signal vector X for PDMA combined with SFBCPDMA,SFBCThe BP detection algorithm of (1) can be approximated by a local-based MAP solution, which is derived using bayesian equations to obtain the following:
Figure BDA0001223028190000141
wherein the content of the first and second substances,
Figure BDA0001223028190000142
is a set of constellation points for user k, Nv(k) Is the time frequency resource sequence number set mapped by the PDMA pattern of the user k. As can be seen from equation (4), the LLR of user k can be solved by using a BP algorithm based on factor graph iterative detection.
Step3, carrying out minus sign processing on the bit position corresponding to the output LLR of the user k; because the PDMA coding matrix and the SFBC are combined to obtain the equivalent channel response matrix, i.e. the odd and even subcarriers are distinguished, the data modulation symbol input to the BP detector is unchanged at the odd subcarriers, and the data on the even subcarriers are conjugated and then sent to the BP detector, the output LLR is processed correspondingly before being sent to the Turbo decoder.
For example: two consecutive data modulation symbols for user 1 are
Figure BDA0001223028190000143
The modulation scheme is QPSK, and the second data modulation symbol of user 1 is conjugated
Figure BDA0001223028190000144
After being input to a BP detector, the second data is modulated with a symbolLLR value LLR corresponding to 2 nd bit positionbit,(i,2)Take the negative sign, the LLR value obtained in this way is x1The true value of (i + 1). When the modulation mode of the PDMA user adopts Gray mapping, the 2 nd bit LLR only influencing the bit corresponding to the data modulation symbol when the data modulation symbol takes conjugationbit,(i,2)。
Such as: in the case of QPSK modulation (b represents a bit), the data modulation symbol is x ═ I + j × Q, where I and Q represent the real part and imaginary part of the data modulation symbol, respectively;
Figure BDA0001223028190000145
thus, after the data modulation symbol is conjugated, the second bit corresponding to the symbol is inverted. Thus, the LLR value corresponding to the second bitbit,(i,2)The inverse can be obtained to correspond to the true value.
And Step4, inputting the processed LLR into a Turbo decoder to obtain information source bit information actually sent to the user k by the base station.
Example two
In example two, a BP-IDD detector (i.e., a BP-IDD-based iterative detector) is adopted, downlink antennas are configured to be 2 × 2, SFBC transmission is adopted, and a PDMA coding matrix adopts 3 time-frequency resources to transmit 6 users (referred to as "3 RU 6 UE"), that is, the PDMA coding matrix is used for transmitting 6 users
Figure BDA0001223028190000151
The user modulation mode is QPSK, Gray mapping is adopted; the same SFBC-based MIMO precoding matrix is adopted by 6 users at the signal transmitting end, namely
Figure BDA0001223028190000152
If the downlink antenna is configured to be 2 x2, SFBC is adopted for transmission, and PDMA coding matrix adopts
Figure BDA0001223028190000153
The transmission diagram of the downlink PDMA of user k combined with 2 × 2SFBC is shown in fig. 6.
In fig. 6, Tx1 and Tx2 are two transmit antennas, and Rx1 and Rx2 are two receive antennas; of the 3 time-frequency resources, time-frequency resource 1 corresponds to actual physical resource elements RE 2i and RE (2i +1), time-frequency resource 2 corresponds to actual physical resource elements RE 2j and RE (2j +1), and time-frequency resource 3 corresponds to actual physical resource elements RE 2m and RE (2m + 1); specifically, RE 2i and RE (2i +1) are the basic actual physical resource units, that is, there is a fixed frequency offset between 2m, 2j and 2i, for example, 2j ═ 2i +2 × dela _ F1, 2m ═ 2i +2 × dela _ F2, where 2 × dela _ F1 and 2 × dela _ F2 represent fixed frequency offsets, and the values of dela _ F1 and dela _ F2 are integers greater than or equal to 1. Therein
Figure BDA0001223028190000154
Indicating the channel response of user k from transmit antenna 1 to receive antenna 1 on the 2 i-th RE,
Figure BDA0001223028190000155
indicating the channel response of user k from transmit antenna 2 to receive antenna 1 on the 2 j-th RE,
Figure BDA0001223028190000156
indicating the channel response of user k on the 2m +1 th RE, from transmit antenna 2 to receive antenna 1, and so on.
As each downlink user respectively experiences different channels, BP-IDD multi-user iterative detection processing is respectively carried out aiming at the received signal of the user. Without loss of generality, the signal detection process in example two is illustrated by taking user k (k ═ 1,2 … 5, 6) as an example.
Step1, determining the equivalent channel response matrix of the combination of the downlink PDMA of the user k and the SFBC
Figure BDA0001223028190000157
And receiving the signal vector
Figure BDA0001223028190000161
Wherein, the received signal vector of PDMA and SFBC combination received by user k on 6 RE and 2 receiving antennas
Figure BDA0001223028190000162
And
Figure BDA0001223028190000163
transmitting modulated signal vector X equivalent to SFBCPDMA,SFBCCan be expressed as formulas (5) and (6), and the interference noise power σ is estimated2。
It is noted that at the signal receiving end, it is known that
Figure BDA0001223028190000164
And the modulation order (corresponding to X) adopted by each userPDMA,SFBCValue range of) obtained by the estimation algorithm
Figure BDA0001223028190000165
And interference noise power σ2What needs to be solved is the SFBC equivalent transmission modulation signal vector X of each userPDMA,SFBCAnd corresponding source bit information.
Figure BDA0001223028190000166
Figure BDA0001223028190000167
Wherein the content of the first and second substances,
Figure BDA0001223028190000168
representing the PDMA obtained by user k, where 6 users arrive at 2 receiving antennas from 2 transmitting antennas on 6 REs, in combination with the equivalent channel response matrix of SFBC, with dimension 12 × 12;
Figure BDA0001223028190000171
SFBC equivalent channel response, representing user k, over 2 receive antennas and 2 REs (i.e., RE (2i) and RE (2i +1)), with dimension 4 x 2;
Figure BDA0001223028190000172
representing a direct product operation.
Figure BDA0001223028190000173
Indicates the channel response of user k at the e-th RE from the transmitting antenna t to the receiving antenna r, the superscript e indicates the RE number (corresponding to 2i, 2i +1, 2j, 2j +1, 2m,2m +1 in fig. 6), t indicates the transmitting antenna number, r indicates the receiving antenna number, the superscript k indicates the user number, pkRepresenting the power allocated to user k.
Figure BDA0001223028190000174
Representing the PDMA received signal vector received by user k over 6 REs and 2 receive antennas, with dimension 12 x1,
Figure BDA0001223028190000175
this indicates that the PDMA reception signal received by the user k on the 2 i-th RE and 1 st reception antenna.
Figure BDA0001223028190000176
Represents SFBC equivalent transmission modulation signal vector of 6 users in 2 continuous modulation symbol time, and the dimension is 12 x1, x(k)(i) Indicating the modulation symbol of user k in the ith modulation symbol time, k is 1,2 … 5, 6.
N denotes interference signals and AWGN noise of neighboring cells.
Step2, obtaining the product based on the formula (2)
Figure BDA0001223028190000177
And interference noise power σ2And sending the bit data to a BP-IDD detector for detection, and outputting the bit-LLR of the user k.
The basic principle of the BP-based iterative detection decoding algorithm (BP-IDD) is to feed back decoded information as input prior information of a BP detector and perform joint iterative processing on the BP detector and a Turbo decoder.
Step3, carrying out negative sign processing on the corresponding bit position of the bit-LLR of the output user k; the PDMA coding matrix and the SFBC are combined to obtain an equivalent channel response matrix, the equivalent channel response matrix is characterized in that parity subcarriers are distinguished, data modulation symbols input to a BP-IDD detector are unchanged in odd-numbered subcarriers, data on even-numbered subcarriers are sent to the BP-IDD detector after being conjugated, and therefore output bit-LLR is processed correspondingly before being sent to a Turbo decoder.
For example: two consecutive data modulation symbols for user 1 are
Figure BDA0001223028190000181
The modulation scheme is QPSK, and the second data modulation symbol of user 1 is conjugated
Figure BDA0001223028190000182
Then inputting the data into a BP-IDD detector, and then modulating the bit-LLR value LLR corresponding to the 2 nd bit position of the second data modulation symbolbit,(i,2)Taking the negative sign, the bit-LLR value obtained in this way is x1The true value of (i + 1). When the modulation mode of the PDMA user adopts Gray mapping, the 2 nd bit LLR only influencing the bit corresponding to the data modulation symbol when the data modulation symbol takes conjugationbit,(i,2)。
And Step4, inputting the processed bit-LLR into a Turbo decoder to obtain information source bit information actually sent to a user k by the base station.
Referring to fig. 7, an embodiment of the present invention further provides a signal detection apparatus, applied to a signal receiving end, including:
a first determining module 71, configured to determine, according to a channel response from a transmitting antenna to a receiving antenna on each actual physical resource unit of a target user, an equivalent channel response matrix obtained by the target user, where the equivalent channel response matrix is obtained by combining pattern division multiple access PDMA of all users from the transmitting antenna to the receiving antenna on all actual physical resource units, and space frequency block code SFBC;
a second determining module 72, configured to determine, according to a received signal from a transmitting antenna to a receiving antenna on each actual physical resource unit of the target user, PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units;
a joint detection module 73, configured to perform joint detection according to the PDMA combined with the equivalent channel response matrix of the SFBC and the PDMA received signal vector to obtain a log-likelihood ratio LLR of the target user;
and a decoding module 74, configured to decode the LLR to obtain the source bit information of the target user.
Thus, the signal detection device of the embodiment of the present invention obtains the LLR of the target user by determining the PDMA combined with the SFBC equivalent channel response matrix and the PDMA received signal vector, and performing joint detection according to the PDMA combined with the SFBC equivalent channel response matrix and the PDMA received signal vector, and decodes the obtained LLR to obtain the information source bit information of the target user, so that the signal receiving end can use the multi-beam information to realize user detection on the premise that the signal transmitting end processes multi-user data based on the PDMA technology and the SFBC MIMO mode combined mode, thereby improving the detection performance of the downlink multi-antenna transmission system.
In an embodiment of the present invention, the signal detection apparatus further includes:
and the processing module is used for carrying out negative sign processing on the corresponding bit position of the LLR according to the modulation order and the constellation mapping mode of the target user.
And the coding module is specifically configured to: and decoding the processed LLR to obtain the information source bit information of the target user.
In an embodiment of the present invention, the first determining module includes:
a first determining unit, configured to determine, according to a channel response of the target user from a transmitting antenna to a receiving antenna on each actual physical resource unit, an SFBC equivalent channel response matrix of the target user on all receiving antennas and two basic actual physical resource units;
and a second determining unit, configured to determine, according to a PDMA coding matrix, a PDMA power allocation matrix, and the SFBC equivalent channel response matrix, an equivalent channel response matrix of the PDMA combined with the SFBC obtained by the target user.
In an embodiment of the present invention, the second determining unit is specifically configured to:
according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix, determining the PDMA combined SFBC equivalent channel response matrix according to the following formula I:
Figure BDA0001223028190000191
wherein the content of the first and second substances,
Figure BDA0001223028190000192
representing the equivalent channel response matrix of the PDMA obtained by the target user k in combination with the SFBC,
Figure BDA0001223028190000193
the SFBC equivalent channel response matrix representing the target user k,
Figure BDA0001223028190000194
the direct product is represented by the direct product,
Figure BDA0001223028190000195
PDMA coding matrix representing K users on N time frequency resources, each time frequency resource comprises two actual physical resource units,
Figure BDA0001223028190000196
a PDMA power allocation matrix representing K users, where only the main diagonal elements have values.
Specifically, the SFBC equivalent channel response matrix is related to a multiple-input multiple-output MIMO precoding matrix based on SFBC in a signal transmitting end encoding process.
In the embodiment of the present invention, the PDMA may be represented by the following formula two in combination with the correspondence between the SFBC equivalent channel response matrix and the PDMA received signal vector:
Figure BDA0001223028190000201
wherein the content of the first and second substances,
Figure BDA0001223028190000202
the PDMA representing the target user k receives the signal vector,
Figure BDA0001223028190000203
an equivalent channel response matrix, X, representing the combination of the PDMA obtained by the target user k and the SFBCPDMA,SFBCAnd representing SFBC equivalent transmission modulation signal vectors of all users, wherein the modulation orders of all users are embodied, and N represents interference signals and additive white Gaussian noise AWGN of the adjacent cells.
In an embodiment of the present invention, the joint detection module is specifically configured to:
and inputting the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector into a BP detector or a BP-IDD detector for joint detection to obtain the LLR of the target user.
In an embodiment of the present invention, the joint detection module is specifically configured to:
and performing joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC, a PDMA received signal vector and interference noise power to obtain the LLR of the target user.
Referring to fig. 8, the embodiment of the present invention further provides a signal receiving end, which includes a bus 81, a processor 82, a transceiver 83, a bus interface 84, a memory 85, and a user interface 86.
The processor 82 is configured to read the program in the memory 85, and execute the following processes:
determining a PDMA (data packet error rate) combined equivalent channel response matrix of SFBC (spread spectrum code block) on all actual physical resource units of all users obtained by a target user according to channel response of the target user from a transmitting antenna to a receiving antenna on each actual physical resource unit, determining PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units according to a received signal of the target user from the transmitting antenna to the receiving antenna on each actual physical resource unit, performing joint detection according to the PDMA combined equivalent channel response matrix of SFBC and the PDMA received signal vectors to obtain LLRs (sign-error rate) of the target user, and decoding the LLRs to obtain source bit information of the target user.
A transceiver 83 for receiving and transmitting data under the control of the processor 82.
In FIG. 8, a bus architecture (represented by bus 81), bus 81 may include any number of interconnected buses and bridges, bus 81 linking together various circuits including one or more processors, represented by general purpose processor 82, and memory, represented by memory 85. The bus 81 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 84 provides an interface between the bus 81 and the transceiver 83. The transceiver 83 may be one element or may be multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 83 receives external data from other devices. The transceiver 83 is used for transmitting data processed by the processor 82 to other devices. Depending on the nature of the computing system, a user interface 86 may also be provided, such as a keypad, display, speaker, microphone, joystick.
The processor 82 is responsible for managing the bus 81 and the usual processing, running a general-purpose operating system as described previously. And the memory 85 may be used to store data used by the processor 82 in performing operations.
Alternatively, the processor 82 may be a CPU, ASIC, FPGA, or CPLD.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (12)

1. A method of signal detection, comprising:
determining an equivalent channel response matrix of pattern division multiple access PDMA (pattern division multiple access) of all users from a transmitting antenna to a receiving antenna on all actual physical resource units, which is obtained by the target user, in combination with Space Frequency Block Code (SFBC) according to the channel response of the target user from the transmitting antenna to the receiving antenna on each actual physical resource unit;
determining PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units according to the received signals of the target user on each actual physical resource unit from the transmitting antennas to the receiving antennas;
performing joint detection according to the PDMA combined with an equivalent channel response matrix of SFBC and a PDMA received signal vector to obtain a log-likelihood ratio LLR of the target user;
decoding the LLR to obtain information source bit information of the target user;
wherein, the step of determining, according to the channel response of the target user from the transmitting antenna to the receiving antenna on each actual physical resource unit, an equivalent channel response matrix of PDMA of all users from the transmitting antenna to the receiving antenna on all actual physical resource units obtained by the target user in combination with SFBC includes:
determining an SFBC equivalent channel response matrix of the target user on all receiving antennas and two basic actual physical resource units according to the channel response of the target user from the transmitting antenna to the receiving antenna on each actual physical resource unit;
according to the PDMA coding matrix, the PDMA power distribution matrix and the SFBC equivalent channel response matrix, determining the PDMA combined SFBC equivalent channel response matrix according to the following formula I:
Figure FDA0002393887120000011
wherein the content of the first and second substances,
Figure FDA0002393887120000012
representing the equivalent channel response matrix of the PDMA obtained by the target user k in combination with the SFBC,
Figure FDA0002393887120000013
the SFBC equivalent channel response matrix representing the target user k,
Figure FDA0002393887120000014
the direct product is represented by the direct product,
Figure FDA0002393887120000015
representing PDMA coding matrix of K users on N time frequency resources, each time frequency resource comprises two actual objectsA unit of physical resource is provided,
Figure FDA0002393887120000016
a PDMA power allocation matrix representing K users, where only the main diagonal elements have values.
2. The signal detection method as claimed in claim 1, wherein after the step of obtaining the log-likelihood ratio LLR of the target user by performing the joint detection according to the PDMA combined with the equivalent channel response matrix of SFBC and the PDMA received signal vector, and before the step of decoding the LLR to obtain the source bit information of the target user, the method further comprises:
according to the modulation order and the constellation mapping mode of the target user, carrying out negative sign taking processing on the corresponding bit position of the LLR;
the decoding the LLR to obtain the source bit information of the target user includes:
and decoding the processed LLR to obtain the information source bit information of the target user.
3. The signal detection method of claim 1, wherein the SFBC equivalent channel response matrix is related to a SFBC-based MIMO precoding matrix during signal transmission side coding.
4. The signal detection method of claim 1, wherein the PDMA is expressed by the following equation two in combination with a correspondence relationship between an equivalent channel response matrix of SFBC and a PDMA received signal vector:
Figure FDA0002393887120000021
wherein the content of the first and second substances,
Figure FDA0002393887120000022
PDMA received signal representing target user kThe vector of the vector is then calculated,
Figure FDA0002393887120000023
an equivalent channel response matrix, X, representing the combination of the PDMA obtained by the target user k and the SFBCPDMA,SFBCAnd representing SFBC equivalent transmission modulation signal vectors of all users, wherein the modulation orders of all users are embodied, and N represents interference signals and additive white Gaussian noise AWGN of the adjacent cells.
5. The signal detection method as claimed in any one of claims 1 to 4, wherein the step of obtaining the log-likelihood ratio LLR of the target user by performing joint detection according to the PDMA combined with an equivalent channel response matrix of SFBC and a PDMA received signal vector comprises:
and inputting the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector into a belief propagation BP detector or a belief propagation-iterative decoding BP-IDD detector for joint detection to obtain the LLR of the target user.
6. The signal detection method as claimed in any one of claims 1 to 4, wherein the step of obtaining the log-likelihood ratio LLR of the target user by performing joint detection according to the PDMA combined with an equivalent channel response matrix of SFBC and a PDMA received signal vector comprises:
and performing joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC, a PDMA received signal vector and interference noise power to obtain the LLR of the target user.
7. A signal detection device, comprising:
a first determining module, configured to determine, according to a channel response from a transmitting antenna to a receiving antenna on each actual physical resource unit of a target user, an equivalent channel response matrix obtained by the target user, where the equivalent channel response matrix is obtained by combining Pattern Division Multiple Access (PDMA) of all users from the transmitting antenna to the receiving antenna on all actual physical resource units, and Space Frequency Block Code (SFBC);
a second determining module, configured to determine, according to a received signal from a transmitting antenna to a receiving antenna on each actual physical resource unit of the target user, PDMA received signal vectors received by the target user on all receiving antennas and all actual physical resource units;
a joint detection module, configured to perform joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector to obtain a log-likelihood ratio LLR of the target user;
the decoding module is used for decoding the LLR to obtain the information source bit information of the target user;
wherein the first determining module comprises:
a first determining unit, configured to determine, according to a channel response of the target user from a transmitting antenna to a receiving antenna on each actual physical resource unit, an SFBC equivalent channel response matrix of the target user on all receiving antennas and two basic actual physical resource units;
a second determining unit, configured to determine, according to the PDMA coding matrix, the PDMA power allocation matrix, and the SFBC equivalent channel response matrix, an equivalent channel response matrix of the PDMA combined with the SFBC according to a first formula:
Figure FDA0002393887120000031
wherein the content of the first and second substances,
Figure FDA0002393887120000032
representing the equivalent channel response matrix of the PDMA obtained by the target user k in combination with the SFBC,
Figure FDA0002393887120000033
the SFBC equivalent channel response matrix representing the target user k,
Figure FDA0002393887120000034
the direct product is represented by the direct product,
Figure FDA0002393887120000035
PDMA coding matrix representing K users on N time frequency resources, each time frequency resource comprises two actual physical resource units,
Figure FDA0002393887120000036
a PDMA power allocation matrix representing K users, where only the main diagonal elements have values.
8. The signal detection device according to claim 7, further comprising:
the processing module is used for carrying out negative sign taking processing on the corresponding bit position of the LLR according to the modulation order and the constellation mapping mode of the target user;
the coding module is specifically configured to: and decoding the processed LLR to obtain the information source bit information of the target user.
9. The apparatus of claim 7, wherein the SFBC equivalent channel response matrix is related to a SFBC based multiple-input multiple-output (MIMO) precoding matrix in a signal transmitting end coding process.
10. The signal detection device of claim 7, wherein the PDMA is expressed by the following equation two in combination with the equivalent channel response matrix of SFBC and the PDMA received signal vector:
Figure FDA0002393887120000041
wherein the content of the first and second substances,
Figure FDA0002393887120000042
the PDMA representing the target user k receives the signal vector,
Figure FDA0002393887120000043
representing objectsPDMA obtained by user k combines with SFBC's equivalent channel response matrix, XPDMA,SFBCAnd representing SFBC equivalent transmission modulation signal vectors of all users, wherein the modulation orders of all users are embodied, and N represents interference signals and additive white Gaussian noise AWGN of the adjacent cells.
11. The signal detection apparatus according to any one of claims 7 to 10, wherein the joint detection module is specifically configured to:
and inputting the PDMA combined with an equivalent channel response matrix of the SFBC and a PDMA received signal vector into a belief propagation BP detector or a belief propagation-iterative decoding BP-IDD detector for joint detection to obtain the LLR of the target user.
12. The signal detection apparatus according to any one of claims 7 to 10, wherein the joint detection module is specifically configured to:
and performing joint detection according to the PDMA combined with an equivalent channel response matrix of the SFBC, a PDMA received signal vector and interference noise power to obtain the LLR of the target user.
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