CN116319230A - Signal receiving method, device, computer equipment and storage medium - Google Patents

Signal receiving method, device, computer equipment and storage medium Download PDF

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CN116319230A
CN116319230A CN202310581017.XA CN202310581017A CN116319230A CN 116319230 A CN116319230 A CN 116319230A CN 202310581017 A CN202310581017 A CN 202310581017A CN 116319230 A CN116319230 A CN 116319230A
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constellation point
signal
point combination
initial
target
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CN116319230B (en
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王浩
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Gaotuoxunda Beijing Microelectronics Co ltd
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Gaotuoxunda Beijing Microelectronics Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2614Peak power aspects
    • H04L27/2623Reduction thereof by clipping
    • H04L27/2624Reduction thereof by clipping by soft clipping
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04JMULTIPLEX COMMUNICATION
    • H04J11/00Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023Interference mitigation or co-ordination
    • H04J11/0026Interference mitigation or co-ordination of multi-user interference
    • H04J11/0036Interference mitigation or co-ordination of multi-user interference at the receiver
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/0001Arrangements for dividing the transmission path
    • H04L5/0003Two-dimensional division
    • H04L5/0005Time-frequency
    • H04L5/0007Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • H04L5/001Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT the frequencies being arranged in component carriers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0044Arrangements for allocating sub-channels of the transmission path allocation of payload
    • H04L5/0046Determination of how many bits are transmitted on different sub-channels

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The application provides a signal receiving method, a signal receiving device, computer equipment and a storage medium, wherein an initial signal is decomposed into at least one subcarrier signal according to Gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna; for each subcarrier signal, determining at least one target constellation point combination according to Gaussian white noise between each constellation point in a constellation diagram of the subcarrier signal; for at least one target constellation point combination, determining the Euclidean distance of the target constellation point combination according to the target constellation points contained in the target constellation point combination; determining soft information of the initial signal according to Euclidean distance of each target constellation point combination; and decoding the soft information according to a preset decoding rule to obtain a target signal, and storing the target signal. By adopting the method, the power consumption during receiving the signal is reduced, and the efficiency of receiving and processing the signal data is improved.

Description

Signal receiving method, device, computer equipment and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a signal receiving method, a signal receiving device, a computer device, and a storage medium.
Background
OFDM (Orthogonal Frequency Division Multiplexing) is a multi-carrier communication technology, and has been widely used in the fields of 4G, 5G, wiFi, etc. In order to obtain higher throughput and more reliable transmission, multi-antenna techniques are often applied in OFDM systems, i.e. MIMO-OFDM techniques. MIMO-OFDM technology is also a typical configuration of the mainstream WIFI systems today. The MLD (Maximum Likelihood Detection) algorithm is an advanced algorithm in the MIMO-OFDM system, and can remarkably improve the system performance. One disadvantage of the MLD algorithm is that the computational complexity is relatively high. Therefore, when the receiving apparatus performs signal reception using the MLD algorithm, power consumption at the time of receiving the signal is increased, and efficiency of receiving and processing the signal data is also lowered.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a signal receiving method, apparatus, computer device and storage medium, so as to reduce power consumption when receiving a signal, and improve efficiency of receiving and processing signal data.
In a first aspect, an embodiment of the present application provides a signal receiving method, where the method includes:
decomposing the initial signal into at least one subcarrier signal according to the Gaussian white noise of each signal receiving antenna and the channel between each signal receiving antenna and each signal transmitting antenna;
Determining at least one initial constellation point combination according to the Gaussian white noise between each constellation point in the constellation diagram of the subcarrier signal for each subcarrier signal, wherein the number of initial constellation points contained in each initial constellation point combination is different, and the Gaussian white noise between each initial constellation point in the initial constellation point combination is minimum compared with the Gaussian white noise between each first rest constellation point in the first rest constellation point combination, and the first rest constellation point combination is the constellation point combination with the same constellation point number as the initial constellation point contained in the initial constellation point combination;
grouping at least one initial constellation point combination according to the bit value of the initial constellation point contained in each initial constellation point combination to obtain at least one candidate constellation point combination, wherein for each candidate constellation point combination, the bit value of each candidate constellation point in the candidate constellation point combination meets the preset bit value requirement;
determining at least one target constellation point combination according to the Gaussian white noise between each candidate constellation point contained in the candidate constellation point combination for at least one candidate constellation point combination, wherein the Gaussian white noise between each target constellation point in the target constellation point combination is minimum compared with the Gaussian white noise between each second rest constellation point in the second rest constellation point combination, and the second rest constellation point combination is the constellation point combination with the same number of constellation points as the target constellation point contained in the target constellation point combination;
For at least one target constellation point combination, determining the Euclidean distance of the target constellation point combination according to the target constellation points contained in the target constellation point combination;
determining soft information of the initial signal according to Euclidean distance of each target constellation point combination;
and decoding the soft information according to a preset decoding rule to obtain a target signal, and storing the target signal.
Optionally, before determining at least one initial constellation point combination for each of the subcarrier signals from gaussian white noise between each constellation point in a constellation of the subcarrier signal;
and carrying out quadrature amplitude modulation on each subcarrier signal to obtain a constellation diagram of each subcarrier signal.
Optionally, the decomposing the initial signal into at least one subcarrier signal according to the gaussian white noise of each signal receiving antenna and the channel between each signal receiving antenna and each signal transmitting antenna includes:
according to the first
Figure SMS_1
Gaussian white noise +.>
Figure SMS_2
First->
Figure SMS_3
Signal receiving antenna and->
Figure SMS_4
Channel between the individual signal transmitting antennas>
Figure SMS_5
The target signal +. >
Figure SMS_6
The method comprises the following steps of:
Figure SMS_7
wherein ,
Figure SMS_10
,/>
Figure SMS_11
,/>
Figure SMS_14
and />
Figure SMS_9
Are all integers and are added with>
Figure SMS_13
For the number of at least one signal receiving antenna, < >>
Figure SMS_15
Is->
Figure SMS_16
Subcarrier signals received by the signal receiving antennas, < >>
Figure SMS_8
Is->
Figure SMS_12
The frequency domain signals transmitted by the signal transmitting antennas.
Optionally, the Euclidean distance
Figure SMS_17
The calculation formula of (2) is as follows:
Figure SMS_18
wherein ,
Figure SMS_20
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure SMS_24
Is->
Figure SMS_27
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure SMS_22
Is->
Figure SMS_23
The channel from the signal transmitting antenna to the 2 nd signal receiving antenna,
Figure SMS_25
is->
Figure SMS_28
Transmit signals of the signal transmit antennas, +.>
Figure SMS_19
Is->
Figure SMS_29
Transmit signals of the signal transmit antennas, +.>
Figure SMS_30
Is->
Figure SMS_31
Signal transmitting antennas to->
Figure SMS_21
Channel of the individual signal receiving antennas, < >>
Figure SMS_26
Is the number of at least one signal receiving antenna.
In a second aspect, embodiments of the present application provide a signal receiving apparatus, the apparatus including:
an initial signal decomposition module, configured to decompose an initial signal into at least one subcarrier signal according to gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna;
an initial constellation point combination determining module, configured to determine, for each of the subcarrier signals, at least one initial constellation point combination according to gaussian white noise between each constellation point in a constellation diagram of the subcarrier signal, where the number of initial constellation points included in each of the initial constellation point combinations is different, and for each of the initial constellation point combinations, the gaussian white noise between each of the initial constellation points in the initial constellation point combination is minimal compared to the gaussian white noise between each of the first remaining constellation points in a first remaining constellation point combination, where the first remaining constellation point combination is a constellation point combination having the same number of constellation points as the initial constellation point included in the initial constellation point combination;
A candidate constellation point combination determining module, configured to group at least one initial constellation point combination according to a bit value of an initial constellation point included in each initial constellation point combination to obtain at least one candidate constellation point combination, where, for each candidate constellation point combination, a bit value of each candidate constellation point in the candidate constellation point combination meets a preset bit value requirement;
a target constellation point combination determining module, configured to determine, for at least one candidate constellation point combination, at least one target constellation point combination according to gaussian white noise between each candidate constellation point included in the candidate constellation point combination, where, for at least one of the target constellation point combinations, the gaussian white noise between each target constellation point in the target constellation point combination is minimal compared to the gaussian white noise between each second remaining constellation point in a second remaining constellation point combination, where the second remaining constellation point combination is a constellation point combination having the same number of constellation points as the target constellation point included in the target constellation point combination;
the Euclidean distance determining module is used for determining the Euclidean distance of at least one target constellation point combination according to the target constellation points contained in the target constellation point combination;
The soft information determining module is used for determining the soft information of the initial signal according to the Euclidean distance of each target constellation point combination;
and the target signal storage module is used for decoding the soft information according to a preset decoding rule to obtain a target signal and storing the target signal.
Optionally, the apparatus further comprises:
and the constellation diagram generating module is used for carrying out quadrature amplitude modulation on each subcarrier signal to obtain a constellation diagram of each subcarrier signal before determining at least one initial constellation point combination according to Gaussian white noise among each constellation point in the constellation diagram of the subcarrier signal.
Optionally, the initial signal decomposition module is specifically configured to, when decomposing the initial signal into at least one subcarrier signal according to gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna:
according to the first
Figure SMS_32
Gaussian white noise +.>
Figure SMS_33
First->
Figure SMS_34
Signal receiving antenna and->
Figure SMS_35
Channel between the individual signal transmitting antennas>
Figure SMS_36
The target signal +.>
Figure SMS_37
The method comprises the following steps of:
Figure SMS_38
wherein ,
Figure SMS_41
,/>
Figure SMS_43
,/>
Figure SMS_46
and />
Figure SMS_40
Are all integers and are added with>
Figure SMS_42
For the number of at least one signal receiving antenna, < >>
Figure SMS_45
Is->
Figure SMS_47
Subcarrier signals received by the signal receiving antennas, < >>
Figure SMS_39
Is->
Figure SMS_44
The frequency domain signals transmitted by the signal transmitting antennas.
Optionally, the Euclidean distance
Figure SMS_48
The calculation formula of (2) is as follows:
Figure SMS_49
wherein ,
Figure SMS_51
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure SMS_54
Is->
Figure SMS_58
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure SMS_53
Is->
Figure SMS_56
The channel from the signal transmitting antenna to the 2 nd signal receiving antenna,
Figure SMS_60
is->
Figure SMS_62
Transmit signals of the signal transmit antennas, +.>
Figure SMS_50
Is->
Figure SMS_55
Transmit signals of the signal transmit antennas, +.>
Figure SMS_59
Is->
Figure SMS_61
Signal transmitting antennas to->
Figure SMS_52
Channel of the individual signal receiving antennas, < >>
Figure SMS_57
Is the number of at least one signal receiving antenna.
In a third aspect, embodiments of the present application provide a computer device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating over the bus when the computer device is running, the machine readable instructions when executed by the processor performing the steps of the signal receiving method of any of the alternative embodiments of the first aspect described above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the signal receiving method described in any of the optional embodiments of the first aspect.
The technical scheme provided by the application comprises the following beneficial effects:
decomposing the initial signal into at least one subcarrier signal according to the Gaussian white noise of each signal receiving antenna and the channel between each signal receiving antenna and each signal transmitting antenna; through the above steps, the initial signal can be subjected to multi-channel decomposition.
Determining at least one initial constellation point combination according to the Gaussian white noise between each constellation point in the constellation diagram of the subcarrier signal for each subcarrier signal, wherein the number of initial constellation points contained in each initial constellation point combination is different, and the Gaussian white noise between each initial constellation point in the initial constellation point combination is minimum compared with the Gaussian white noise between each first rest constellation point in the first rest constellation point combination, and the first rest constellation point combination is the constellation point combination with the same constellation point number as the initial constellation point contained in the initial constellation point combination; grouping at least one initial constellation point combination according to the bit value of the initial constellation point contained in each initial constellation point combination to obtain at least one candidate constellation point combination, wherein for each candidate constellation point combination, the bit value of each candidate constellation point in the candidate constellation point combination meets the preset bit value requirement; determining at least one target constellation point combination according to the Gaussian white noise between each candidate constellation point contained in the candidate constellation point combination for at least one candidate constellation point combination, wherein the Gaussian white noise between each target constellation point in the target constellation point combination is minimum compared with the Gaussian white noise between each second rest constellation point in the second rest constellation point combination, and the second rest constellation point combination is the constellation point combination with the same number of constellation points as the target constellation point contained in the target constellation point combination; through the steps, the constellation points can be screened, and the signal subcarriers with the least influence on noise among the signal subcarriers can be determined to be used as the selection basis of the subsequent soft information.
For at least one target constellation point combination, determining the Euclidean distance of the target constellation point combination according to the target constellation points contained in the target constellation point combination; determining soft information of the initial signal according to Euclidean distance of each target constellation point combination; decoding the soft information according to a preset decoding rule to obtain a target signal, and storing the target signal; through the steps, soft information can be generated according to the sub-carrier corresponding to each constellation point in the target constellation point combination, and then a target signal is generated according to the soft information and stored, so that the signal is received.
By adopting the method, after the initial signal is decomposed, constellation points are screened according to the interference and noise between each subcarrier obtained by decomposition, and soft information and target signals are generated and stored according to the screened constellation points, so that the power consumption during signal receiving is reduced and the efficiency of receiving and processing signal data is improved while the signal receiving is carried out.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that the remaining relevant drawings can be obtained from these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a flowchart of a signal receiving method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a signal receiving apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All the remaining embodiments, which are obtained by a person skilled in the art without making any inventive effort, are within the scope of protection of the present invention based on the embodiments of the present invention.
Example 1
For the sake of understanding the present application, the following describes in detail the first embodiment of the present application with reference to the flowchart of the first embodiment of the present invention shown in fig. 1.
Referring to fig. 1, fig. 1 shows a flowchart of a signal receiving method according to an embodiment of the present invention, where the method includes steps S101 to S107:
s101: the initial signal is decomposed into at least one subcarrier signal based on the gaussian white noise of each signal receiving antenna and the channel between each signal receiving antenna and each signal transmitting antenna.
Specifically, the system comprises
Figure SMS_63
Personal signal receiving antenna +.>
Figure SMS_64
A plurality of signal transmitting antennas for adding initial signals in MIMO-OFDM (multiple input multiple output orthogonal frequency division multiplexing) system>
Figure SMS_65
Decomposing to obtain->
Figure SMS_66
Subcarrier signal->
Figure SMS_67
,…,/>
Figure SMS_68
;/>
Figure SMS_69
Is a natural number that is non-zero.
Figure SMS_70
wherein ,
Figure SMS_81
,/>
Figure SMS_72
,/>
Figure SMS_77
and />
Figure SMS_78
Are all integers and are added with>
Figure SMS_82
For the number of at least one signal receiving antenna, < >>
Figure SMS_84
Is->
Figure SMS_86
Subcarrier signals received by the signal receiving antennas, < >>
Figure SMS_83
Is->
Figure SMS_85
Frequency domain signal transmitted by the signal transmitting antenna, < >>
Figure SMS_74
Is->
Figure SMS_79
Gaussian white noise of the individual signal receiving antennas, < >>
Figure SMS_71
Is->
Figure SMS_75
Signal receiving antenna and- >
Figure SMS_76
Channels between the signal transmitting antennas, when->
Figure SMS_80
When (I)>
Figure SMS_73
Figure SMS_87
Value is given to a fixed constellation set +.>
Figure SMS_88
For example, toIn 16QAM (Quadrature Amplitude Modulation ),>
Figure SMS_89
the value set of (2) is-3-3 +.>
Figure SMS_90
, -3-1/>
Figure SMS_91
, … 3+3/>
Figure SMS_92
16 constellation points, set ∈ ->
Figure SMS_93
C=16.
S102: for each of the subcarrier signals, determining at least one initial constellation point combination according to the Gaussian white noise between each constellation point in the constellation diagram of the subcarrier signal, wherein the number of initial constellation points contained in each initial constellation point combination is different, and for each initial constellation point combination, the Gaussian white noise between each initial constellation point in the initial constellation point combination is minimum compared with the Gaussian white noise between each first remaining constellation point in the first remaining constellation point combination, and the first remaining constellation point combination is the constellation point combination with the same constellation point number as the initial constellation point contained in the initial constellation point combination.
Specifically, after step S101 is performed, step S102 may be performed, that is, for each subcarrier signal, determining at least one initial constellation point combination according to gaussian white noise between each constellation point in the constellation diagram of the subcarrier signal; or determining at least one optimal constellation point of the subcarrier signal according to Euclidean distance between each constellation point in the constellation diagram of the subcarrier signal and the equalization result of the initial signal, and then determining at least one initial constellation point combination according to Gaussian white noise between the at least one optimal constellation point in the constellation diagram of the subcarrier signal.
Here, the constellation diagram of each subcarrier signal is set to 16QAM, and the number of constellation points c=16.
At least one initial constellation point combination is determined by:
step one: each is put into
Figure SMS_103
The nth row of the subcarrier signal matrix brought into step S101 determines the +.>
Figure SMS_96
Sub-carrier wave received by the signal receiving terminal>
Figure SMS_99
At the same time, each ∈>
Figure SMS_100
The n-1 th row of the subcarrier signal matrix brought into step S101 determines the subcarrier +.>
Figure SMS_104
The method comprises the steps of carrying out a first treatment on the surface of the Due to->
Figure SMS_109
Take value in a fixed constellation set
Figure SMS_111
Then constellation point number and ∈ ->
Figure SMS_102
Is the same in number of (1) each->
Figure SMS_106
Can calculate a +.>
Figure SMS_94
When c=16, the ∈ ->
Figure SMS_98
Quantity and +.>
Figure SMS_105
The number of (2) is also 16 @>
Figure SMS_108
Quantity and +.>
Figure SMS_107
Is also 16, each +.>
Figure SMS_110
And each->
Figure SMS_95
The pairwise combination can give 16×16=256 constellation point combinations (++>
Figure SMS_101
,/>
Figure SMS_97
)。
Step two: the combination of the 256 constellation points
Figure SMS_112
,/>
Figure SMS_113
) The 16 are found such that the following function values +.>
Figure SMS_114
The smallest constellation point combination, the 16 constellation point combinations are determined as the first constellation point combination set:
Figure SMS_115
step three: for each of 16 constellation point combinations in the first set of constellation point combinations, combining the constellation point combinations
Figure SMS_127
The nth row of the subcarrier signal matrix brought into step S101 determines the +.>
Figure SMS_117
Sub-carrier wave received by the signal receiving terminal>
Figure SMS_123
At the same time, each ∈>
Figure SMS_124
The n-1 th row of the subcarrier signal matrix brought into step S101 determines the subcarrier +.>
Figure SMS_128
At the same time, each ∈>
Figure SMS_129
The n-2 th row of the subcarrier signal matrix brought into step S101 determines the subcarrier +.>
Figure SMS_131
The method comprises the steps of carrying out a first treatment on the surface of the Due to->
Figure SMS_126
Is 16, the constellation point combinations in the first constellation point combination set (++>
Figure SMS_130
,/>
Figure SMS_116
) Is 16, each +.>
Figure SMS_121
And each constellation point combination (>
Figure SMS_118
,/>
Figure SMS_120
) The pairwise combination can give 16×16=256 constellation point combinations (++>
Figure SMS_122
,/>
Figure SMS_125
Figure SMS_119
)。
Step four: the combination of the 256 constellation points
Figure SMS_132
,/>
Figure SMS_133
,/>
Figure SMS_134
) Find 16 such that the following function values
Figure SMS_135
The smallest constellation point combination, the 16 constellation point combinations are determined as the second constellation point combination set:
Figure SMS_136
referring to the steps, until 256 constellation points are combined
Figure SMS_137
,/>
Figure SMS_138
,/>
Figure SMS_139
,…,/>
Figure SMS_140
) Find 16 values of the function>
Figure SMS_141
The minimum constellation point combination is determined as the initial constellation point combination set, and the 16 constellation point combinations are at least one initial constellation point combination.
S103: and grouping at least one initial constellation point combination according to the bit value of the initial constellation point contained in each initial constellation point combination to obtain at least one candidate constellation point combination, wherein for each candidate constellation point combination, the bit value of each candidate constellation point in the candidate constellation point combination meets the requirement of a preset bit value.
Specifically, each constellation point contains 4 bit values, respectively
Figure SMS_143
、/>
Figure SMS_146
、/>
Figure SMS_148
、/>
Figure SMS_142
,/>
Figure SMS_145
For the first bit value of the constellation point, < >>
Figure SMS_147
For the second bit value of the constellation point, +.>
Figure SMS_149
For the third bit value of the constellation point, < +.>
Figure SMS_144
The fourth bit value of the constellation point is either a 0 or a 1 bit value.
The constellation point combination comprises a plurality of constellation points, then
Figure SMS_151
The first bit value as the first constellation point in the constellation point combination, +.>
Figure SMS_154
A second bit value as a first constellation point in the constellation point combination, +.>
Figure SMS_158
A third bit value as the first constellation point in the constellation point combination, +.>
Figure SMS_152
A fourth bit value as the first constellation point in the constellation point combination, +.>
Figure SMS_156
First bit value as second constellation point in constellation point combination, +.>
Figure SMS_160
A second bit value as a second constellation point in the constellation point combination, +.>
Figure SMS_163
A third bit value as a second constellation point in the constellation point combination +.>
Figure SMS_150
A fourth bit value as a second constellation point in the constellation point combination, +.>
Figure SMS_155
The first bit value as the third constellation point in the constellation point combination and so on, since there are 256 constellation point combinations (=>
Figure SMS_159
,/>
Figure SMS_162
,/>
Figure SMS_153
,…,/>
Figure SMS_157
) If only one bit value for one constellation point (e.g.) >
Figure SMS_161
) Limiting the method can obtainTo 128 candidate constellation point combinations, then each bit value for each constellation point is defined here once for each:
Figure SMS_165
when the method is used, 128 candidate constellation point combinations can be obtained; />
Figure SMS_167
When the method is used, 128 candidate constellation point combinations can be obtained; />
Figure SMS_169
When the method is used, 128 candidate constellation point combinations can be obtained; />
Figure SMS_166
When the method is used, 128 candidate constellation point combinations can be obtained; />
Figure SMS_168
When the method is used, 128 candidate constellation point combinations can be obtained; />
Figure SMS_170
When the method is used, 128 candidate constellation point combinations can be obtained; similarly, when->
Figure SMS_171
When the method is used, 128 candidate constellation point combinations can be obtained; />
Figure SMS_164
At this time, 128 candidate constellation point combinations can be obtained. The 128 candidate constellation point combinations are at least one candidate constellation point combination.
S104: for at least one candidate constellation point combination, determining at least one target constellation point combination according to the Gaussian white noise between each candidate constellation point contained in the candidate constellation point combination, wherein for at least one target constellation point combination, the Gaussian white noise between each target constellation point in the target constellation point combination is minimum compared with the Gaussian white noise between each second rest constellation point in the second rest constellation point combination, and the second rest constellation point combination is the constellation point combination with the same number of constellation points as the target constellation point contained in the target constellation point combination.
Specifically, define a function
Figure SMS_172
The method comprises the following steps:
Figure SMS_173
for the following
Figure SMS_174
Finding the combination of 128 candidate constellation points that minimizes the function D>
Figure SMS_175
The target constellation point combination is stored; for->
Figure SMS_176
Find the minimum of function D by combining 128 candidate constellation points
Figure SMS_177
The target constellation point combination is stored; and so on for->
Figure SMS_178
Finding the combination of 128 candidate constellation points that minimizes the function D>
Figure SMS_179
Stored as a target constellation point combination.
S105: and for at least one target constellation point combination, determining the Euclidean distance of the target constellation point combination according to the target constellation points contained in the target constellation point combination.
Specifically, soft decision is performed, that is, a euclidean distance is adopted, that is, for at least one target constellation point combination, the euclidean distance of the target constellation point combination is determined according to the target constellation points contained in the target constellation point combination
Figure SMS_180
Figure SMS_181
wherein ,
Figure SMS_183
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure SMS_187
Is->
Figure SMS_192
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure SMS_184
Is->
Figure SMS_186
The channel from the signal transmitting antenna to the 2 nd signal receiving antenna,
Figure SMS_190
is->
Figure SMS_194
Transmit signals of the signal transmit antennas, +.>
Figure SMS_182
Is->
Figure SMS_188
Transmit signals of the signal transmit antennas, +. >
Figure SMS_191
Is->
Figure SMS_193
Signal transmitting antennas to->
Figure SMS_185
Channel of the individual signal receiving antennas, < >>
Figure SMS_189
Is the number of at least one signal receiving antenna.
S106: and determining the soft information of the initial signal according to the Euclidean distance of each target constellation point combination.
Specifically, soft information
Figure SMS_195
The calculation mode of (2) is as follows:
Figure SMS_196
wherein ,
Figure SMS_197
is noise power +.>
Figure SMS_198
The kth bit, k, carried for the initial signal is a natural number that is non-zero.
S107: and decoding the soft information according to a preset decoding rule to obtain a target signal, and storing the target signal.
Specifically, the soft information is decoded according to a preset decoding rule to obtain a target signal, and the target signal is stored to realize the receiving of an initial signal.
In a possible embodiment, before determining at least one initial constellation point combination for each of the subcarrier signals from gaussian white noise between each constellation point in the constellation of the subcarrier signal;
and carrying out quadrature amplitude modulation on each subcarrier signal to obtain a constellation diagram of each subcarrier signal.
In one possible embodiment, the decomposing the initial signal into at least one subcarrier signal according to gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna includes:
According to the first
Figure SMS_199
Gaussian white noise +.>
Figure SMS_200
First->
Figure SMS_201
Signal receiving antenna and->
Figure SMS_202
Channel between the individual signal transmitting antennas>
Figure SMS_203
The target signal +.>
Figure SMS_204
The method comprises the following steps of:
Figure SMS_205
wherein ,
Figure SMS_208
,/>
Figure SMS_209
,/>
Figure SMS_212
and />
Figure SMS_206
Are all integers and are added with>
Figure SMS_210
For the number of at least one signal receiving antenna, < >>
Figure SMS_213
Is->
Figure SMS_214
Subcarrier signals received by the signal receiving antennas, < >>
Figure SMS_207
Is->
Figure SMS_211
The frequency domain signals transmitted by the signal transmitting antennas.
In a possible embodiment, the Euclidean distance
Figure SMS_215
The calculation formula of (2) is as follows:
Figure SMS_216
wherein ,
Figure SMS_218
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure SMS_222
Is->
Figure SMS_226
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure SMS_220
Is->
Figure SMS_224
The channel from the signal transmitting antenna to the 2 nd signal receiving antenna,
Figure SMS_227
is->
Figure SMS_229
Transmit signals of the signal transmit antennas, +.>
Figure SMS_217
Is->
Figure SMS_221
Transmit signals of the signal transmit antennas, +.>
Figure SMS_225
Is->
Figure SMS_228
Signal transmitting antennas to->
Figure SMS_219
Channel of the individual signal receiving antennas, < >>
Figure SMS_223
Is the number of at least one signal receiving antenna.
Besides, when receiving signals, different receiving methods can be adopted for different subcarriers of the MIMO-OFDM system, and for the MIMO-OFDM system comprising K subcarriers, parameters are set
Figure SMS_230
Minimum amplitude of channel determinant>
Figure SMS_231
The "bad" sub-carriers we use the MLD (Maximum Likelihood Detection ) algorithm, the remaining +.>
Figure SMS_232
The ZF equalization algorithm (a linear equalization algorithm derived from the peak distortion criteria) is used for each "good" subcarrier, which reduces the overall algorithm complexity to +.>
Figure SMS_233
Example two
Referring to fig. 2, fig. 2 shows a schematic structural diagram of a signal receiving apparatus according to a second embodiment of the present invention, where the apparatus includes:
an initial signal decomposition module 201, configured to decompose the initial signal into at least one subcarrier signal according to gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna;
an initial constellation point combination determining module 202, configured to determine, for each of the subcarrier signals, at least one initial constellation point combination according to gaussian white noise between each constellation point in a constellation diagram of the subcarrier signal, where the number of initial constellation points included in each of the initial constellation point combinations is different, and for each of the initial constellation point combinations, the gaussian white noise between each of the initial constellation points in the initial constellation point combination is minimum compared to the gaussian white noise between each of the first remaining constellation points in the first remaining constellation point combination, the first remaining constellation point combination being a constellation point combination having the same number of constellation points as the initial constellation points included in the initial constellation point combination;
A candidate constellation point combination determining module 203, configured to group at least one initial constellation point combination according to a bit value of an initial constellation point included in each initial constellation point combination to obtain at least one candidate constellation point combination, where, for each candidate constellation point combination, a bit value of each candidate constellation point in the candidate constellation point combination meets a preset bit value requirement;
a target constellation point combination determining module 204, configured to determine, for at least one candidate constellation point combination, at least one target constellation point combination according to gaussian white noise between each candidate constellation point included in the candidate constellation point combination, where, for at least one of the target constellation point combinations, the gaussian white noise between each target constellation point in the target constellation point combination is minimal compared to the gaussian white noise between each second remaining constellation point in a second remaining constellation point combination, the second remaining constellation point combination being a constellation point combination having the same number of constellation points as the target constellation point included in the target constellation point combination;
the euclidean distance determining module 205 is configured to determine, for at least one target constellation point combination, a euclidean distance of the target constellation point combination according to target constellation points included in the target constellation point combination;
A soft information determining module 206, configured to determine soft information of the initial signal according to euclidean distances of each target constellation point combination;
the target signal storage module 207 is configured to decode the soft information according to a preset decoding rule to obtain a target signal, and store the target signal.
Optionally, the apparatus further comprises:
and the constellation diagram generating module is used for carrying out quadrature amplitude modulation on each subcarrier signal to obtain a constellation diagram of each subcarrier signal before determining at least one initial constellation point combination according to Gaussian white noise among each constellation point in the constellation diagram of the subcarrier signal.
Optionally, the initial signal decomposition module is specifically configured to, when decomposing the initial signal into at least one subcarrier signal according to gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna:
according to the first
Figure SMS_234
Gaussian white noise +.>
Figure SMS_235
First->
Figure SMS_236
Signal receiving antenna and->
Figure SMS_237
Channel between the individual signal transmitting antennas>
Figure SMS_238
The target signal +.>
Figure SMS_239
The method comprises the following steps of:
Figure SMS_240
wherein ,
Figure SMS_242
,/>
Figure SMS_245
,/>
Figure SMS_247
and />
Figure SMS_243
Are all integers and are added with>
Figure SMS_246
For the number of at least one signal receiving antenna, < >>
Figure SMS_248
Is->
Figure SMS_249
Subcarrier signals received by the signal receiving antennas, < >>
Figure SMS_241
Is->
Figure SMS_244
The frequency domain signals transmitted by the signal transmitting antennas.
Optionally, the Euclidean distance
Figure SMS_250
The calculation formula of (2) is as follows:
Figure SMS_251
wherein ,
Figure SMS_253
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure SMS_259
Is->
Figure SMS_262
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure SMS_255
Is->
Figure SMS_258
The channel from the signal transmitting antenna to the 2 nd signal receiving antenna,
Figure SMS_261
is->
Figure SMS_264
Transmit signals of the signal transmit antennas, +.>
Figure SMS_252
Is->
Figure SMS_257
Transmit signals of the signal transmit antennas, +.>
Figure SMS_260
Is->
Figure SMS_263
Signal transmitting antennas to->
Figure SMS_254
Channel of the individual signal receiving antennas, < >>
Figure SMS_256
Is the number of at least one signal receiving antenna.
Example III
Based on the same application concept, referring to fig. 3, fig. 3 shows a schematic structural diagram of a computer device provided in a third embodiment of the present invention, where, as shown in fig. 3, a computer device 300 provided in the third embodiment of the present invention includes:
a processor 301, a memory 302 and a bus 303, said memory 302 storing machine readable instructions executable by said processor 301, said processor 301 and said memory 302 communicating via said bus 303 when said computer device 300 is running, said machine readable instructions being executed by said processor 301 to perform the steps of the signal receiving method as described in the first embodiment above.
Example IV
Based on the same application concept, the embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, performs the steps of the signal receiving method of any one of the above embodiments.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
The computer program product for signal reception provided in the embodiment of the present invention includes a computer readable storage medium storing program code, where the program code includes instructions for executing the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment and will not be described herein.
The signal receiving device provided by the embodiment of the invention can be specific hardware on equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned. It will be clear to those skilled in the art that, for convenience and brevity, the specific operation of the system, apparatus and unit described above may refer to the corresponding process in the above method embodiment, which is not described in detail herein.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments provided in the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: like reference numerals and letters in the following figures denote like items, and thus once an item is defined in one figure, no further definition or explanation of it is required in the following figures, and furthermore, the terms "first," "second," "third," etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the corresponding technical solutions. Are intended to be encompassed within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method of signal reception, the method comprising:
decomposing the initial signal into at least one subcarrier signal according to the Gaussian white noise of each signal receiving antenna and the channel between each signal receiving antenna and each signal transmitting antenna;
Determining at least one initial constellation point combination according to the Gaussian white noise between each constellation point in the constellation diagram of the subcarrier signal for each subcarrier signal, wherein the number of initial constellation points contained in each initial constellation point combination is different, and the Gaussian white noise between each initial constellation point in the initial constellation point combination is minimum compared with the Gaussian white noise between each first rest constellation point in the first rest constellation point combination, and the first rest constellation point combination is the constellation point combination with the same constellation point number as the initial constellation point contained in the initial constellation point combination;
grouping at least one initial constellation point combination according to the bit value of the initial constellation point contained in each initial constellation point combination to obtain at least one candidate constellation point combination, wherein for each candidate constellation point combination, the bit value of each candidate constellation point in the candidate constellation point combination meets the preset bit value requirement;
determining at least one target constellation point combination according to the Gaussian white noise between each candidate constellation point contained in the candidate constellation point combination for at least one candidate constellation point combination, wherein the Gaussian white noise between each target constellation point in the target constellation point combination is minimum compared with the Gaussian white noise between each second rest constellation point in the second rest constellation point combination, and the second rest constellation point combination is the constellation point combination with the same number of constellation points as the target constellation point contained in the target constellation point combination;
For at least one target constellation point combination, determining the Euclidean distance of the target constellation point combination according to the target constellation points contained in the target constellation point combination;
determining soft information of the initial signal according to Euclidean distance of each target constellation point combination;
and decoding the soft information according to a preset decoding rule to obtain a target signal, and storing the target signal.
2. The method of claim 1, wherein prior to determining at least one initial constellation point combination for each of the subcarrier signals based on gaussian white noise between each constellation point in a constellation of the subcarrier signal;
and carrying out quadrature amplitude modulation on each subcarrier signal to obtain a constellation diagram of each subcarrier signal.
3. The method of claim 1, wherein the decomposing the initial signal into at least one subcarrier signal based on the gaussian white noise of each signal receiving antenna and the channel between each signal receiving antenna and each signal transmitting antenna comprises:
according to the first
Figure QLYQS_1
Gaussian white noise +.>
Figure QLYQS_2
First- >
Figure QLYQS_3
Signal receiving antenna and->
Figure QLYQS_4
Channel between the individual signal transmitting antennas>
Figure QLYQS_5
The target signal +.>
Figure QLYQS_6
The method comprises the following steps of:
Figure QLYQS_7
wherein ,
Figure QLYQS_9
,/>
Figure QLYQS_13
,/>
Figure QLYQS_15
and />
Figure QLYQS_10
Are all integers and are added with>
Figure QLYQS_12
For the number of at least one signal receiving antenna, < >>
Figure QLYQS_14
Is->
Figure QLYQS_16
Subcarrier signals received by the signal receiving antennas, < >>
Figure QLYQS_8
Is->
Figure QLYQS_11
The frequency domain signals transmitted by the signal transmitting antennas.
4. A method according to claim 3, wherein the euclidean distance
Figure QLYQS_17
The calculation formula of (2) is as follows:
Figure QLYQS_18
wherein ,
Figure QLYQS_22
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure QLYQS_23
Is->
Figure QLYQS_27
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure QLYQS_21
Is->
Figure QLYQS_26
Channel from signal transmitting antenna to 2 nd signal receiving antenna +.>
Figure QLYQS_29
Is->
Figure QLYQS_31
Transmit signals of the signal transmit antennas, +.>
Figure QLYQS_20
Is->
Figure QLYQS_24
Transmit signals of the signal transmit antennas, +.>
Figure QLYQS_28
Is->
Figure QLYQS_30
Signal transmitting antennas to->
Figure QLYQS_19
Channel of the individual signal receiving antennas, < >>
Figure QLYQS_25
Is the number of at least one signal receiving antenna.
5. A signal receiving apparatus, the apparatus comprising:
the initial signal decomposition module is used for decomposing the initial signal into at least one subcarrier signal according to Gaussian white noise of each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna;
An initial constellation point combination determining module, configured to determine, for each of the subcarrier signals, at least one initial constellation point combination according to gaussian white noise between each constellation point in a constellation diagram of the subcarrier signal, where the number of initial constellation points included in each of the initial constellation point combinations is different, and for each of the initial constellation point combinations, the gaussian white noise between each of the initial constellation points in the initial constellation point combination is minimal compared to the gaussian white noise between each of the first remaining constellation points in a first remaining constellation point combination, where the first remaining constellation point combination is a constellation point combination having the same number of constellation points as the initial constellation point included in the initial constellation point combination;
a candidate constellation point combination determining module, configured to group at least one initial constellation point combination according to a bit value of an initial constellation point included in each initial constellation point combination to obtain at least one candidate constellation point combination, where, for each candidate constellation point combination, a bit value of each candidate constellation point in the candidate constellation point combination meets a preset bit value requirement;
a target constellation point combination determining module, configured to determine, for at least one candidate constellation point combination, at least one target constellation point combination according to gaussian white noise between each candidate constellation point included in the candidate constellation point combination, where, for at least one of the target constellation point combinations, the gaussian white noise between each target constellation point in the target constellation point combination is minimal compared to the gaussian white noise between each second remaining constellation point in a second remaining constellation point combination, where the second remaining constellation point combination is a constellation point combination having the same number of constellation points as the target constellation point included in the target constellation point combination;
The Euclidean distance determining module is used for determining the Euclidean distance of at least one target constellation point combination according to the target constellation points contained in the target constellation point combination;
the soft information determining module is used for determining the soft information of the initial signal according to the Euclidean distance of each target constellation point combination;
and the target signal storage module is used for decoding the soft information according to a preset decoding rule to obtain a target signal and storing the target signal.
6. The apparatus of claim 5, wherein the apparatus further comprises:
and the constellation diagram generating module is used for carrying out quadrature amplitude modulation on each subcarrier signal to obtain a constellation diagram of each subcarrier signal before determining at least one initial constellation point combination according to Gaussian white noise among each constellation point in the constellation diagram of the subcarrier signal.
7. The apparatus of claim 5, wherein the initial signal decomposition module is configured to, when decomposing the initial signal into at least one subcarrier signal according to gaussian white noise for each signal receiving antenna and a channel between each signal receiving antenna and each signal transmitting antenna:
According to the first
Figure QLYQS_32
Gaussian white noise +.>
Figure QLYQS_33
First->
Figure QLYQS_34
Signal receiving antenna and->
Figure QLYQS_35
Channel between the individual signal transmitting antennas>
Figure QLYQS_36
The target signal +.>
Figure QLYQS_37
The method comprises the following steps of:
Figure QLYQS_38
wherein ,
Figure QLYQS_40
,/>
Figure QLYQS_43
,/>
Figure QLYQS_46
and />
Figure QLYQS_41
Are all integers and are added with>
Figure QLYQS_42
For the number of at least one signal receiving antenna, < >>
Figure QLYQS_45
Is->
Figure QLYQS_47
Subcarrier signals received by the signal receiving antennas, < >>
Figure QLYQS_39
Is->
Figure QLYQS_44
The frequency domain signals transmitted by the signal transmitting antennas.
8. The apparatus of claim 6, wherein the euclidean distance
Figure QLYQS_48
The calculation formula of (2) is as follows:
Figure QLYQS_49
wherein ,
Figure QLYQS_52
for the subcarrier signal received by the 1 st signal receiving antenna, is>
Figure QLYQS_56
Is->
Figure QLYQS_60
Channel from signal transmitting antenna to 1 st signal receiving antenna, ">
Figure QLYQS_51
Is->
Figure QLYQS_54
Channel from signal transmitting antenna to 2 nd signal receiving antenna +.>
Figure QLYQS_57
Is->
Figure QLYQS_61
Transmit signals of the signal transmit antennas, +.>
Figure QLYQS_50
Is->
Figure QLYQS_55
Transmit signals of the signal transmit antennas, +.>
Figure QLYQS_59
Is->
Figure QLYQS_62
Signal transmitting antennas to->
Figure QLYQS_53
Channel of the individual signal receiving antennas, < >>
Figure QLYQS_58
Is the number of at least one signal receiving antenna.
9. A computer device, comprising: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating over the bus when the computer device is running, said machine readable instructions when executed by said processor performing the steps of the signal receiving method according to any of claims 1 to 4.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the signal receiving method according to any of claims 1 to 4.
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Publication number Priority date Publication date Assignee Title
US20090190683A1 (en) * 2004-04-22 2009-07-30 Qualcomm Incorporated Mimo receiver using maximum likelihood detector in combination with qr decomposition
US20120155579A1 (en) * 2010-12-21 2012-06-21 Gennady Zilberman Efficient Implementation of M-Algorithm Based on QR Decomposition for Higher-Order Constellations
CN102723975A (en) * 2012-06-11 2012-10-10 北京大学 Signal detection method and device of MIMO (multiple input multiple output) system
CN115333583A (en) * 2022-08-10 2022-11-11 比科奇微电子(杭州)有限公司 Signal detection method and device for multi-transmission multi-reception communication system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090190683A1 (en) * 2004-04-22 2009-07-30 Qualcomm Incorporated Mimo receiver using maximum likelihood detector in combination with qr decomposition
US20120155579A1 (en) * 2010-12-21 2012-06-21 Gennady Zilberman Efficient Implementation of M-Algorithm Based on QR Decomposition for Higher-Order Constellations
CN102723975A (en) * 2012-06-11 2012-10-10 北京大学 Signal detection method and device of MIMO (multiple input multiple output) system
CN115333583A (en) * 2022-08-10 2022-11-11 比科奇微电子(杭州)有限公司 Signal detection method and device for multi-transmission multi-reception communication system

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