CN104796239B - A kind of mimo wireless communication system and signal supervisory instrument and method - Google Patents
A kind of mimo wireless communication system and signal supervisory instrument and method Download PDFInfo
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Abstract
The present invention provides a kind of mimo wireless communication system and signal supervisory instrument and method, wherein the MIMO signal detection device includes: that search tree converting unit, search unit, node selecting unit, node computing unit, hedge clipper cut/updating unit.MIMO signal detection device of the invention is based on optimal coloured interchannel noise model, and complexity is lower, and performance is no better than traversal search.Signal detecting method of the invention reduces search complexity when considering channel estimation errors.It ensure that the performance of communication simultaneously.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of mimo wireless communication system and signal supervisory instrument and sides
Method.
Background technique
Forth generation mobile communication (4G) and the 5th Generation Mobile Communication System (5G) later, such as 3GPP LTE (Long
term evaluation)/LTE-Advanced.At UE (user equipment) receiver using multiple-input, multiple-output (MIMO,
Multiple-input multiple-output) and orthogonal frequency division multiplexing (OFDM, orthogonal frequency-
Division multiplexing) access scheme provides the high data rate in downlink.In LTE, for example, UE class
Type (UE category) 6 (supports 4x4MIMO), and downlink can support the up to data rate of 300Mbps；And
In LTE-A, such as UE type 8, downlink can be supported up to 3Gbps (gigabits/second), i.e., up to 8 layers of data speed
Rate.
5G communication system target improves frequency usage rate, provides higher data rate with this.For example, it is poly- that carrier wave can be used
Close (CA, carrier aggregation) or mixed networking mode (HetNets, heterogeneous networks).
The basic principle of above-mentioned technology is to improve frequency usage rate, but will lead to strong jamming in practical applications and influence performance.
In a wireless communication system, Multiuser Detection is effective Anti-Jamming Technique.In addition, nonopiate access (NOMA, non-
Orthogonal multiple access) etc. be widely used in overcoming interference bring performance degradation.MIMO signal detection
Device is also widely used in above-mentioned technology.
In wireless communication receiver, MIMO signal detector is responsible for the detection of signal vector and the demodulation of constellation pattern.
The MMO signal detector of high-performance but low complex degree is the reliable high number met under above-mentioned typical scene in 4G and 5G communication system
According to the key of rate requirement.On the other hand, MIMO signal detection need to obtain enough high-precision channel state information (CSI,
channel state information).For this purpose, channel estimation is required.Typical 4G communication system is some by reception
The reference signal known is for estimating CSI.Since the reference signal of limited quantity is by actual noise transmission, receiver is only
Nonideal channel estimation can be obtained, this causes MIMO signal detector must not be without complicated Digital Signal Processing to obtain
Reliable detection performance, complexity become the extensive practical bottleneck of MIMO technology.
Being presently considered the MIMO signal detection method in the case of channel estimation errors mainly has following three kinds: first method
It is to assume that channel estimation is perfect in signal detection process.This method has ignored channel estimation errors completely, thus also by
Referred to as detection of mismatch.Detection of mismatch computation complexity is lower, but ignoring channel estimation errors leads to MIMO signal detector simultaneously
Satisfactory detection performance cannot be provided, especially when in the biggish situation of channel estimation errors.
Second method assumes that channel estimation errors are white Gaussian noise (WEN, white estimation noise),
Then according to the Gaussian distribution model of effective observation noise, every transmission is calculated using tree search algorithm (including spherical detection algorithm)
This influence to reduce channel estimation errors of this special log-likelihood.Tree search algorithm is guaranteeing the same of best possibility predication performance
When algorithm complexity can be greatly reduced.But since channel estimation errors depend on symbol constellations, detection model is not
Meet white Gaussian noise distribution, unsuitable distributed model selection also will affect actual signal detection effect.
It is the traversal search algorithm under the detection model of coloured noise that the third method, which is based on channel estimation errors,.It is coloured
The power spectral density of noise uneven distribution, white noise on entire frequency domain are then uniformly distributed.In systems in practice, coloured to make an uproar
Sound is more common.The known ML estimation based on coloured interchannel noise estimation (CEN, colored estimation noise) is best
Signal detection model.MIMO signal detector based on this model can provide optimum performance.But traversal search algorithm is complicated
The increase exponential increase with antenna amount and constellation order is spent, so not being suitable for practical application.For example, LTE/LTE-
A supports 4x464QAMMIMO, and extends to 8x8256QAM MIMO, this makes it demodulate this special computation complexity of every transmission
Each about 1.6 × 107With 1.8 × 1019MAC(multiply-accumulate).This remote super prior art of number it is feasible
Number.
Existing MIMO signal detector generallys use tree search signal detector (including ball-type detector).Existing tree search
Signal detector is based on white noise parameter model, i.e. noise parameter is constant.
Therefore, in view of the above-mentioned problems, it is necessary to propose further solution.
Summary of the invention
The purpose of the present invention is to provide a kind of mimo wireless communication system and signal supervisory instrument and methods, existing to overcome
There is deficiency present in technology.
For achieving the above object, a kind of MIMO signal detection device provided by the invention comprising: search tree conversion
Unit, search unit, node selecting unit, node computing unit, hedge clipper cut/updating unit；
Described search tree converting unit, is used for Nr×NtMimo system and respective channel estimation are missed with channel estimation
Poor variance is converted to Nt+ 1 layer of search tree；
Described search unit is used to judge that current detection node layer not to be detected with the presence or absence of sublayer node, if so, preceding
It proceeds to corresponding sublayer node to be detected, otherwise, retreat to father's node layer of current detection node layer, when there is no node not to be detected
It surveys or does not need to be detected, search unit terminates；
The node selecting unit is used to determine nodal test sequence in sublayer node；
The node computing unit is used to successively calculate the coloured of respective nodes according to the nodal test sequence and make an uproar
Sound parameter and corresponding Testing index value；The coloured noise parameter calculates corresponding dependent on father's node layer of the node
Transmitting signal；
The hedge clipper cuts/updating unit, is used to work as node to the Testing index value and trimming variable γ of this respective nodes
Testing index value is greater than trimming variable γ, and respective nodes and its all child nodes are cut off from tree construction, and otherwise, trimming becomes
Amount γ is the Testing index value for being updated to respective nodes.
As the improvement of MIMO signal detection device of the invention, in the node computing unit, the node it is coloured
Noise parameter calculates the corresponding transmitting signal of sublayer node independent of the node.
As the improvement of MIMO signal detection device of the invention, in the node computing unit, the node is calculated
Testing index floor value.
For achieving the above object, the present invention also provides a kind of mimo wireless communication system comprising: transmitter and
Receiver；
The transmitter includes: that information source generates end, encoder, modulator, serioparallel exchange unit；
The receiver includes: MIMO signal detection device as described in claim 1, parallel serial conversion unit, decoder.
As the improvement of mimo wireless communication system of the invention, the mathematical model of the mimo wireless communication system are as follows: r
=Hx+n, wherein r=[r1, r2... rNr]TIt is Nr× 1 dimension complex received signal vector, x=[x1, x2... xNt]TIt is Nt×1
Transmission signal vector is tieed up, wherein xiIndependently to choose from a limited constellation of complex pattern, the H is Nr×NtDimension is answered
Number wireless channel matrix.
As the improvement of mimo wireless communication system of the invention, the constellation pattern be QPSK, 16QAM, 64QAM and
Any one in 256QAM.
For achieving the above object, the present invention also provides a kind of signal detecting method, according to constellation modulation system,
Channel estimationAnd channel estimation error variance v2, the detection to MIMO signal is completed, and export the every transmission for sending signal
The log-likelihood ratio of bit.
Specifically, described method includes following steps:
S1. by Nr×NtMimo system and respective channel estimationWith channel estimation error variance v2Be converted to Nt+ 1 layer
Search tree；
S2. judge that current detection node layer is not detected with the presence or absence of sublayer node, if so, advancing to corresponding sublayer node
Detected, otherwise, retreat to current detection node layer father's node layer, when do not have node be not detected or do not need to be detected
It surveys, search unit terminates；
S3. nodal test sequence is determined in sublayer node；
S4. according to the nodal test sequence, the coloured noise parameter and corresponding inspection of respective nodes are successively calculated
Survey index value；The coloured noise parameter calculates the corresponding transmitting signal of father's node layer for depending on the node；
S5. the Testing index value and trimming variable γ for comparing respective nodes, when nodal test index value is greater than trimming variable
γ, respective nodes and its all child nodes are cut off from tree construction, and otherwise, trimming variable γ is updated to respective nodes
Testing index value.
As the improvement of signal detecting method of the invention, this expression formula of the log-likelihood are as follows:
Wherein, Λ (x) is Testing index, and the expression formula of the Λ (x) is as follows:
As the improvement of signal detecting method of the invention, in the step S3, according to the principle or width of depth-first
Preferential principle determines nodal test sequence in sublayer node.
As the improvement of signal detecting method of the invention, in the step S4, the coloured noise parameter meter of the node
Calculate the corresponding transmitting signal of sublayer node independent of the node.
As the improvement of signal detecting method of the invention, the expression of the Testing index of the respective nodes in the step S4
Formula is as follows:
As the improvement of signal detecting method of the invention, the step S4 calculates the lower bound of the Testing index of respective nodes
Value.
As the improvement of signal detecting method of the invention, in the step S4, the Testing index of respective nodes is calculated
When floor value, at most determined by one critical point of detection and two boundary points.
With the prior art mutually this, the beneficial effects of the present invention are: MIMO signal detection device of the invention is based on optimal having
Color interchannel noise model, complexity is lower, and performance is no better than traversal search.Signal detecting method of the invention is considering
In the case of channel estimation errors, search complexity is reduced.It ensure that the performance of communication simultaneously.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in invention, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the module diagram of MIMO signal detection device of the invention；
Fig. 2 is the module diagram of search tree conversion module in MIMO signal detection device of the invention；
Fig. 3 is the module diagram of transmitter in MIMO signal detection device of the invention；
Fig. 4 is the module diagram of receiver in MIMO signal detection device of the invention；
Fig. 5 is tree construction schematic diagram in MIMO signal detection device of the invention；
Fig. 6 is noise this curve graph under QPSK modulation；
Fig. 7 is noise this curve graph under 16QAM modulation；
Fig. 8 is noise this curve graph under 64QAM modulation.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, below in conjunction with of the invention real
The attached drawing in example is applied, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work, all should belong to protection of the present invention
Range.
As shown in Figure 1, MIMO signal detection device of the invention includes: search tree converting unit 11, search unit 12, section
Point selecting unit 13, node computing unit 14, hedge clipper cut/updating unit 15.
The MIMO signal verifying attachment uses tree search algorithm, is used for according to constellation modulation system and channel estimationWith channel estimation variance v2, the detection to MIMO signal is completed, and export and send this special log-likelihood of every transmission of signal
Than.It specifically including: search tree converting unit 11, search unit 12, node selecting unit 13, node computing unit 14, hedge clipper cut/
Updating unit 15.
Wherein, described search tree converting unit 11 is used to estimate Nr × Nt mimo system and respective channelWith letter
Channel estimation error variance v2Be converted to Nt+ 1 layer of search tree.Whether described search unit 12 is for judging current detection node layer
There are sublayer nodes not to be detected, is detected if so, advancing to corresponding sublayer node, otherwise, retreats to current detection layer section
Father's node layer of point, when not having node not to be detected or do not need to be detected, search unit is terminated.The node selecting unit
13 in sublayer node for determining nodal test sequence.The node computing unit 14 is used for suitable according to the nodal test
Sequence successively calculates the Testing index value of respective nodes.The hedge clipper cuts/and updating unit 15 is for referring to the detection of this respective nodes
Scale value and trimming variable γ, when nodal test index value is greater than trimming variable γ, respective nodes and its all child nodes are by from tree
It is cut off in structure, otherwise, trimming variable γ is the Testing index value for being updated to respective nodes.
Further, described search tree converting unit 11 is also used to receive channel estimationAnd corresponding channel estimation
Error variance v2, and it is pre-processed.
As shown in Fig. 2, specifically, described search tree converting unit 11 includes: matrix construction unit 21, matrix decomposition unit
22, vector generation unit 23, output unit 24.
Wherein, the matrix construction unit 21 is used for channel estimation error variance v2It is configured to matrix Ξ.The matrix point
Unit 22 is solved to be used for channel estimationWith the product of ΞCarry out matrix decomposition (such as QR is decomposed or Cholesky is decomposed)
Have been converted into tree construction matrix.It is decomposed in the present invention using QR.After being decomposed by QR, matrixBe decomposed into upper triangular matrix R and
Orthogonal matrix Q.The vector generates single 23 yuan and is used for MIMO signal detection device received signal vector r multiplied by orthogonal matrix
The associate matrix Q of QH, obtain vector y.The output unit 24 is for exporting the upper triangular matrix R, matrix Ξ, vector y
To described search unit.
As shown in Figure 3,4, it is based on above-mentioned MIMO signal detection device, the present invention also provides a kind of mimo wireless communication systems
System comprising: transmitter 30 and receiver 40.Wherein, the transmitter 30 is for issuing signal to receiver, the receiver
40 receive the signal, and detect channel estimation errors associated with the signal.Meanwhile by the associated letter of all reception signals
Channel estimation error saves as a data vector, and is applied to following MIMO signal detection devices.
The mathematical model of the mimo wireless communication system are as follows: r=Hx+n, wherein r=[r1, r2... rNr]TIt is Nr×1
Tie up complex received signal vector, x=[x1, x2... xNt]TIt is Nt× 1 dimension transmission signal vector, xiFor from a limited plural number
It is independently chosen in constellation pattern.The constellation pattern can be QPSK, 16QAM, any one in 64QAM and 256QAM,
It can be other existing constellation patterns, such as ASK, PSK and TCM etc..The H is Nr×NtThe plural wireless channel matrix of dimension.
The transmitter 30 includes: that information source generates end, encoder, modulator, serioparallel exchange unit.The information source produces
It causes trouble for generating information code current, information code current is after encoder encodes, by forming specific constellation after modulators modulate
Pattern.Then, serioparallel exchange unit changes modulated stream compression into Nt channel parallel data stream, finally by the day of transmitter
Line is sent.
The receiver 40 includes: MIMO signal detection device 41 as described above, parallel serial conversion unit 42, decoder
43.MIMO signal detection device is detected using channel-estimation information to signal is received, then is carried out by parallel serial conversion unit
Parallel-serial conversion reverts to raw information code stream after decoding finally by decoder.
Correspondingly, the present invention also provides a kind of signal detecting method based on above-mentioned MIMO signal detection device, the sides
Method is according to constellation modulation system, channel estimationAnd channel estimation errors Ξ, the detection to MIMO signal is completed, and export
Send the log-likelihood ratio of every transmitted bit of signal.
The expression formula of the log-likelihood ratio are as follows:
Wherein, Λ (x) is Testing index, and the expression formula of the Λ (x) is as follows:
Due toTo which Λ (x) can equivalents are as follows:
In the equivalent expression of Λ (x), y=QHR,Component is received for kth layer
ykPart Euclidean distance.Y in formulakIt is k-th of component of received vector y, rmkIt is the m row kth column member of upper triangular matrix R
Element.xkFor k-th of component for emitting vector x.
As described in Figure 5, specifically, described method includes following steps:
S1. by Nr×NtMimo system and respective channel estimationWith channel estimation error variance v2Be converted to Nt+ 1 layer
Search tree；
Wherein,In the expression formula, Δ H is Nr×NtThe complex channel evaluated error matrix of dimension；
The expression formula of Δ H is as follows:
In the expression formula, the Δ hijIt is the channel estimation errors from j-th of transmitting antenna to i-th of receiving antenna,
And mean value is zero, variance v2 ijComplex-valued Gaussian variable.In addition, in present embodiment, it is assumed that all channel estimation error variances
It is identical: vij 2=v2.It is thus possible to the case where supporting different channels estimation error variance completely, without the damage in any performance
It loses, wherein digital vij 2It can be obtained by measurement channel quality.
Further, the step S1 includes:
S10. by channel estimation error variance v2It is configured to matrix Ξ.Wherein, the expression formula of the Ξ is as follows:
Ξ=diag (ξ1..., ξNt),
Wherein, ξK=1/ (1+v2).Diag () is diagonal matrix, ξ1..., ξNtFor the elements in a main diagonal, its in matrix
It is 0 with element.
S11. by channel estimationWith the product of ΞIt is decomposed by QR, is decomposed into upper triangular matrix R and orthogonal moment
Battle array Q.
S12. by received signal vector r multiplied by the associate matrix Q of orthogonal matrix QH, obtain vector y.
S13. the upper triangular matrix R, matrix Ξ, vector y are exported.
S2. judge that current detection node layer is not detected with the presence or absence of sublayer node, if so, advancing to corresponding sublayer node
Detected, otherwise, retreat to current detection node layer father's node layer, when do not have node be not detected or do not need to be detected
It surveys, search unit terminates.
S3. nodal test sequence is determined in sublayer node.Wherein, according to the principle of depth-first or the original of breadth-first
Then, nodal test sequence is determined in sublayer node.
S4. according to the nodal test sequence, the coloured noise parameter and corresponding inspection of respective nodes are successively calculated
Survey the floor value of index value.Wherein, which calculates the corresponding transmitting of father's node layer for depending on the node
Signal.In addition, at most passing through one critical point of detection and two boundary points when calculating the floor value of the Testing index of respective nodes
It determines.
Wherein, the lower bound may be most tight lower bound.Similarly, it in present embodiment, can be used other more loose
Lower bound and independent of it is unknown transmitting signal Testing index carry out demodulated signal.In addition, Jie also can be used in present embodiment
In Λ (xm) the upper bound and lower bound and independent of it is unknown transmitting signal Testing index carry out demodulated signal.
S5. to the floor value of the Testing index of this respective nodes and trimming variable γ, when the floor value of nodal test index
Greater than trimming variable γ, respective nodes and its all child nodes are cut off from tree construction, and otherwise, trimming variable γ is i.e. by more
New is the Testing index floor value of respective nodes.
In addition, above-mentioned calculating and trimming strategy be based on do not depend on the node not search for sublayer node corresponding
Emit signal, which claims the floor value of Testing index and respective nodes.
In formula (1), the calculating of whole Euclidean distance is converted to each layer part Euclidean distance by the molecular moiety of first item
It is cumulative.If only having this, iterative calculation method can be used and solve formula (1), but the denominator part of the Section 2 of formula (1) and first item
It is not available iterative calculation, is made a concrete analysis of as follows:
In m layers, part Testing index Λ (xm) can state are as follows:
Wherein, xm=[xm..., xNt] it is part transmitting vector.In current m layers, only part emits vector xm?
Know, remaining transmitting signal x1..., xm-1For unknown-value, thus, it is not used to current portions Testing index Λ (xm) calculating.
In present embodiment, by seeking the detection mode of first derivative, unknown transmitting signal can be rapidly predicted, specifically
Derive as follows: formula (2) can be addressed further under are as follows:
Wherein,It is one based on unknown transmitting signal and correlated channels evaluated error
Variable.It enablesWithRespectively in constellation pattern may be selected signal minimum and
Emission maximum energy.Therefore, θmNecessarily belong to following interval range:
According to formula (3) and (4), part Testing index Λ (xm) lower bound can state are as follows:
Its lower bound critical point can be obtained by first derivative detection mode.Equal to 0, i.e., critical point meets first derivative
Λ′(xm)=0, it can thus be concluded that:
As it can be seen that θ* mIt is not rely on unknown transmitting signal, is to be based on disobeying so as to obtain above-mentioned search and trim strategy
The conclusion of the Testing index of the unknown transmitting signal of Lai Yu.
The research present invention is applied to the simulated effect in typical case's 3GPPLTE/LTE-A scene below, by channel estimation errors
Variance yields v2It is defined as NMSE (normalized mean square error), draws signal-to-noise ratio curve graph.
As can be seen from figures 6 to 8, Fig. 6 is the signal-to-noise ratio curve graph under QPSK modulation；Fig. 7 is that the signal-to-noise ratio under 16QAM modulation is bent
Line chart；Fig. 8 is the signal-to-noise ratio curve graph under 64QAM modulation.
Wherein, the expression of Perfect CSI curve is resonable thinks MIMO signal detection effect under channel estimation；Proposed CEN
SD curve indicates the signal detection effect of the present invention under imperfect channel estimation；WEN SD curve is indicated in imperfect channel estimation
It is based on WEN method signal detection effect down；Mismatched SD curve indicates the detection of mismatch method under imperfect channel estimation
Signal detection effect.In view of hardware limitation factor, all simulators only explore the node of limited quantity, when exploration number of nodes
Reach limit value, signal detection terminates.In figure Y-axis be code character error rate, X-axis be receive signal noise this.
SNR needed for reaching target code character error rate 0.01 to this.It will be appreciated from fig. 6 that the present invention can provide about 5dB gain；
There are Fig. 7,8 it is found that the present invention can be provided more than 10dB gain.To which it is multiple that signal detecting method of the invention reduces search
Miscellaneous degree.It ensure that the performance of communication simultaneously.
Shown in sum up, MIMO signal detection device of the invention is based on optimal coloured interchannel noise model, complexity compared with
It is low, and performance is no better than traversal search.Signal detecting method of the invention is reduced when considering channel estimation errors
Search complexity.It ensure that the performance of communication simultaneously.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (13)
1. a kind of MIMO signal detection device, which is characterized in that the MIMO signal detection device includes: that search tree conversion is single
Member, search unit, node selecting unit, node computing unit, hedge clipper cut/updating unit；
Described search tree converting unit, is used for Nr×NtMimo system and respective channel estimation and channel estimation errors side
Difference is converted to Nt+ 1 layer of search tree；
Described search unit is used to judge that current detection node layer not to be detected with the presence or absence of sublayer node, if so, advancing to
Corresponding sublayer node is detected, and otherwise, is retreated to father's node layer of current detection node layer, when there is no node not to be detected or
Person does not need to be detected, and search unit terminates；
The node selecting unit is used to determine nodal test sequence in sublayer node；
The node computing unit is used to successively calculate the coloured noise ginseng of respective nodes according to the nodal test sequence
Several and corresponding Testing index value；The coloured noise parameter calculates corresponding dependent on father's node layer of the respective nodes
Transmitting signal；
The hedge clipper cuts/updating unit, is used to compare the Testing index value and trimming variable γ of respective nodes, works as nodal test
Index value is greater than trimming variable γ, and respective nodes and its all child nodes are cut off from tree construction, otherwise, trims variable γ
It is updated to the Testing index value of respective nodes.
2. MIMO signal detection device according to claim 1, which is characterized in that described in the node computing unit
The coloured noise parameter of node calculates the corresponding transmitting signal of sublayer node independent of the respective nodes.
3. MIMO signal detection device according to claim 1, which is characterized in that in the node computing unit, meter
Calculate the floor value of the Testing index of the respective nodes.
4. a kind of mimo wireless communication system, which is characterized in that the mimo wireless communication system includes: transmitter and reception
Machine；The transmitter includes: that information source generates end, encoder, modulator, serioparallel exchange unit；The receiver includes: such as power
Benefit require 1 described in MIMO signal detection device, parallel serial conversion unit, decoder.
5. mimo wireless communication system according to claim 4, which is characterized in that the number of the mimo wireless communication system
Learn model are as follows: r=Hx+n, wherein r=[r1, r2... rNr]TIt is Nr× 1 dimension complex received signal vector, x=[x1, x2,
...xNt]TIt is Nt× 1 ties up transmission signal vector, wherein xiIndependently to be chosen from a limited constellation of complex pattern, 1≤i≤
Nt, the H is NrThe plural wireless channel matrix of × Nt dimension.
6. mimo wireless communication system according to claim 5, which is characterized in that the constellation pattern is QPSK,
Any one in 16QAM, 64QAM and 256QAM.
7. a kind of signal detecting method, which is characterized in that the method is according to constellation modulation system, channel estimationAnd letter
Channel estimation error variance v2, the detection to MIMO signal is completed, and export the log-likelihood ratio for sending every transmitted bit of signal,
Specifically, described method includes following steps:
S1. by Nr×NtMimo system and respective channel estimationWith channel estimation error variance v2Be converted to Nt+ 1 layer of search
Tree；
S2. judge that current detection node layer is not detected with the presence or absence of sublayer node, carried out if so, advancing to corresponding sublayer node
Detection, otherwise, retreat to current detection node layer father's node layer, when do not have node be not detected or do not need to be detected,
Search unit terminates；
S3. nodal test sequence is determined in sublayer node；
S4. according to the nodal test sequence, the coloured noise parameter and corresponding detection for successively calculating respective nodes refer to
Scale value；The coloured noise parameter calculates the corresponding transmitting signal of father's node layer for depending on the respective nodes；
S5. the Testing index value and trimming variable γ for comparing respective nodes, when nodal test index value is greater than trimming variable γ, phase
Node and its all child nodes is answered to be cut off from tree construction, otherwise, trimming variable γ is the inspection for being updated to respective nodes
Survey index value.
8. signal detecting method according to claim 7, which is characterized in that the expression formula of the log-likelihood ratio are as follows:
Wherein, ∧ (x) is Testing index, and the expression formula of the ∧ (x) is as follows:
Wherein, r: received signal vector；
X: possible transmitting signal；
WithQualified finite constellation pattern set；
Channel estimate matrix；
Ξ: channel estimation errors construct matrix；
Receiving end white noise variance；
Nt: transmitting terminal antenna amount；
Nr: receiving end antenna amount；
ξk: channel estimation errors construct the main diagonal element in matrix Ξ.
9. signal detecting method according to claim 7, which is characterized in that in the step S3, according to depth-first
Principle or the principle of breadth-first determine nodal test sequence in sublayer node.
10. signal detecting method according to claim 7, which is characterized in that in the step S4, the respective nodes
Coloured noise parameter calculates the corresponding transmitting signal of sublayer node independent of the respective nodes.
11. signal detecting method according to claim 7, which is characterized in that the inspection of the respective nodes in the step S4
The expression formula for surveying index is as follows:
Wherein, xkAnd xm: kth or m layers of transmitting signal；
Receiving end white noise variance；
Nt: transmitting terminal antenna amount；
Nr: receiving end antenna amount；
ξk: channel estimation error variance constructs the main diagonal element in matrix Ξ；
λm: the part Euclidean distance of m layers of reception component；
Variable based on unknown transmitting signal and correlated channels evaluated error.
12. signal detecting method according to claim 11, which is characterized in that the step S4 calculates the inspection of respective nodes
Survey the floor value of index.
13. signal detecting method according to claim 12, which is characterized in that in the step S4, calculate respective nodes
Testing index floor value when, at most determined by one critical point of detection and two boundary points.
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