CN104022858A - Preprocessing assisted signal detection method and device in MIMO system - Google Patents

Abstract

The invention discloses a preprocessing assisted signal detection method in an MIMO system. The preprocessing assisted signal detection method in the MIMO system is used for solving the problem that as LRA is adopted to detect signals in the prior art, the optimal achievable rate can not be achieved. The method comprises the steps that a complex integer matrix is selected from a complex integer matrix gather according to parameter values related to the effectiveness of data transmission; the estimation value of emitted data flow is determined according to received signals, a detection matrix and the selected complex integer matrix. The invention further discloses a preprocessing assisted signal detection method in the MIMO system.

Description

Auxiliary signal detecting method and the device of preliminary treatment in multi-input multi-output system

Technical field

The application relates to communication technical field, relates in particular to auxiliary signal detecting method and the device of preliminary treatment in a kind of multi-input multi-output system.

Background technology

Multiple-input and multiple-output (Multiple Input Multiple Output, MIMO) technology, owing to can bring diversity gain and spatial reuse gain simultaneously, therefore becomes the technology of generally applying in the 4th third-generation mobile communication.

Figure 1 shows that the schematic diagram of MIMO technology.Transmitting terminal is through N _ttransmit antennas, by data flow $x={\left[\begin{array}{cccc}{x}_1& x_2& \·\·\·& x_{N_t}\end{array}\right]}^T$ Launch, after space channel by the N of receiving terminal _r(N _t≤ N _r) reception of root reception antenna.

At receiving terminal, every reception antenna all can receive the data flow from every transmit antennas.If represent with a reception signal y signal (signal hereinafter reception antenna being received is called for short reception signal) that all reception antennas receive, this reception signal can be expressed as $y={\left[\begin{array}{cccc}{y}_1& y_2& \·\·\·& y_{N_r}\end{array}\right]}^T.$ The relation of x and y is as shown in the formula shown in [1]:

y＝Hx+n [1]

Wherein, $H=\left[\begin{array}{cccc}{h}_1& h_2& \·\·\·& h_{N_t}\end{array}\right]$ Represent N _r× N _tthe channel matrix of dimension, $n={\left[\begin{array}{cccc}{n}_1& n_2& \·\·\·& n_{N_r}\end{array}\right]}^T$ Be the zero-mean white Gauss noise vector on reception antenna, variance is σ ².

Element in H can be designated as the span of i is [1, N _t].H _iin element can be designated as h _ji, h _jirepresent that transmitting antenna i is to the single footpath channel fading value between reception antenna j, obeying average is 0, and the multiple gaussian random that variance is 1 distributes, and the span of j is [1, N _r].

In mimo system, mainly contain two large classes for detection of the signal detection algorithm of y.One class is linearity test algorithm, is realized by linear detector; Another kind of is non-linear detection algorithm, is realized by nonlinear detector.No matter be which kind of algorithm, its object is all to recover the data flow x of transmission antennas transmit from receive signal y.

In order to obtain the detection performance of near-optimization, the linearity test algorithm based on the most basic, prior art has also proposed the auxiliary linearity test algorithm of preliminary treatment.This algorithm, before receiving terminal carries out linearity test to received signal, decomposes channel matrix, and detects to received signal according to the channel matrix after decomposing, and obtains detecting vector; Process afterwards, then to detecting vector.

Usually, the process of the auxiliary linearity test of preliminary treatment as shown in Figure 2, mainly comprises the steps:

The first step: receiving terminal is estimated channel, obtains channel matrix H; H is decomposed into a product that approximately subtracts the complex integers matrix of matrix and a full rank, shown in [2].

H＝QP [2]

Wherein, Q is for approximately subtracting matrix, and P is complex integers matrix, and P is non-singular matrix.

By in formula [2] substitution formula [1], obtain following formula [3]:

y＝Hx+n＝QPx+n＝Qz+n [3]

Wherein, z=Px is equivalent transmitted signal.

Second step: y is carried out to linearity test, obtain detecting vector ρ, shown in [4].

ρ＝Gy [4]

The detection matrix that G uses for receiving terminal.

Implement linear transformation to detecting vector ρ, obtain the estimated value of x

$\hat{x}=P^{-1}\mathrm{\ρ}---\left[5\right]$

In prior art, the auxiliary linearity test of common preliminary treatment is that Ge Jiyue subtracts auxiliary (Lattice-Reduction-Aided, LRA) detection.During LRA detects, what channel matrix H was decomposed to employing is LRA algorithm, and the pact reducing and the swap operation that are undertaken by iteration, progressively reduce and decompose the otherness that approximately subtracts the each column vector correlation of matrix and each column vector mould value obtaining, what the final decomposition of realization obtained approximately subtracts matrix H _redrespectively be listed as orthogonal as far as possible and mould such as grade.

Particularly, the process that LRA detects mainly comprises the steps:

The first step: channel matrix decomposition H, is approximately subtracted matrix H _redwith complex integers matrix T:

H＝H _redT [6]

Corresponding to formula [2], known have a Q=H _red, P=T.

By in formula [6] substitution formula [1], obtain following formula [7]:

y＝H _redTx+n＝H _redz+n [7]

Second step: y is carried out to linearity test, and the detection vector obtaining (shown in [4]) is implemented to linear transformation, obtain the estimated value of x (shown in [5]).

Y is carried out to the mode of linearity test such as being ZF (Zero Forcing, ZF) detection or least mean-square error (Minimum Mean Square Error, MMSE) detection, etc.

The advantage that LRA detects is, can obtain N _rthe full receive diversity gain on rank.LRA detect defect be, the criterion that channel matrix H is decomposed is to make approximately to subtract matrix H _redeach row between try one's best orthogonal and etc. mould, thereby reduce the interference between data flow that different transmit antennas sends as far as possible, but adopt this criterion can not reach optimum achievable rate.

Summary of the invention

The embodiment of the present application provides the auxiliary signal detecting method of preliminary treatment in a kind of multi-input multi-output system, adopts LRA to detect the problem of the achievable rate that can not reach optimum in order to solve in prior art to signal.

The embodiment of the present application also provides the auxiliary signal supervisory instrument of preliminary treatment in a kind of multi-input multi-output system, adopts LRA to detect the problem of the achievable rate that can not reach optimum in order to solve in prior art to signal.

The embodiment of the present application adopts following technical proposals:

The auxiliary signal detecting method of preliminary treatment in multi-input multi-output system, comprising: according to the parameter value relevant to the validity of transfer of data, choose complex integers matrix from complex integers set of matrices; Wherein, described complex integers set of matrices is made up of the complex integers matrix obtaining by channel matrix decomposition; According to the complex integers matrix that receives signal, detects matrix and choose, determine the estimated value of the data flow of transmitting; Wherein, described detection matrix be according to described channel matrix and described in the complex integers matrix chosen determine.

In multi-input multi-output system, the auxiliary signal supervisory instrument of preliminary treatment, comprising: matrix is chosen unit, for according to the parameter value relevant to the validity of transfer of data, chooses complex integers matrix from complex integers set of matrices; Wherein, described complex integers set of matrices is made up of the complex integers matrix obtaining by channel matrix decomposition; Transmitted signal determining unit, for choose the complex integers matrix of unit selection according to reception signal, detection matrix and matrix, determines the estimated value of the data flow of transmitting; Wherein, described detection matrix be according to described channel matrix and described in the complex integers matrix chosen determine.

Above-mentioned at least one technical scheme that the embodiment of the present application adopts can reach following beneficial effect:

Because the parameter value using relevant to the validity of transfer of data is as the foundation of determining complex integers matrix, therefore can realize the validity of taking into account transfer of data in the time detecting to received signal, avoid adopting LRA to detect the problem of the achievable rate that can not reach optimum to signal in prior art.

Brief description of the drawings

Accompanying drawing described herein is used to provide further understanding of the present application, forms the application's a part, and the application's schematic description and description is used for explaining the application, does not form the improper restriction to the application.In the accompanying drawings:

Fig. 1 is the schematic diagram of MIMO technology of the prior art;

Fig. 2 is the auxiliary linearity test process schematic diagram of detection of the prior art;

The specific implementation flow chart of the auxiliary signal detecting method of preliminary treatment in a kind of multi-input multi-output system that Fig. 3 provides for the embodiment of the present application 1;

The concrete structure schematic diagram of the auxiliary signal supervisory instrument of preliminary treatment in a kind of multi-input multi-output system that Fig. 4 provides for the embodiment of the present application 2;

The data flow that Fig. 5 can reach for the data flow that the input scheme that provides of the embodiment of the present application is provided can reaches detects at the achievable rate of receiving terminal and the LRA of employing prior art is at the contrast schematic diagram of the achievable rate of receiving terminal.

Embodiment

For making the application's object, technical scheme and advantage clearer, below in conjunction with the application's specific embodiment and corresponding accompanying drawing, present techniques scheme is clearly and completely described.Obviously, described embodiment is only some embodiments of the present application, instead of whole embodiment.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtaining under creative work prerequisite, all belong to the scope of the application's protection.

Below in conjunction with accompanying drawing, describe the technical scheme that the each embodiment of the application provides in detail.

Embodiment 1

In order to solve in prior art the problem of achievable rate that signal is adopted LRA to detect can not to reach optimum and optimum achievable rate, the embodiment of the present application 1 provides the auxiliary signal detecting method of preliminary treatment in a kind of multi-input multi-output system.The specific implementation flow chart of the method as shown in Figure 3, mainly comprises the steps:

Step 31 according to the parameter value relevant to the validity of transfer of data, is chosen complex integers matrix from complex integers set of matrices.

Wherein, to can be, but not limited to be that the data flow of different transmit antennas transmitting is at the achievable rate of receiving terminal to the relevant parameter value of validity above-mentioned and transfer of data.

Above-mentioned complex integers set of matrices is to be made up of the complex integers matrix obtaining by channel matrix decomposition.

In embodiment 1, the mode that channel matrix is decomposed can be, but not limited to adopt existing any mode that channel matrix is decomposed in prior art.

Step 32, according to the complex integers matrix that receives signal, detects matrix and choose, determines the estimated value of the data flow of transmitting.Wherein, detecting matrix is to determine according to channel matrix and the complex integers matrix of choosing.

Particularly, according to formula [4] and [5], can determine that the computing formula of estimated value of the data flow of transmission antennas transmit is as shown in the formula shown in [8]:

$\hat{x}=P^{-1}\mathrm{\ρ}=P^{-1}\mathrm{Gy}---\left[8\right]$

Wherein, y is for receiving signal, and G is for detecting matrix, and P is for by performing step the 31 complex integers matrixes of choosing.

In embodiment 1, G can be, but not limited to adopt the detection matrix using in existing ZF detection, MMSE detection or other detection algorithms.Taking ZF detection as example, detecting matrix G can be G=P (H ^hh) ^-1h ^h; Taking MMSE detection as example, detecting matrix G can be G=P (H ^hh+ σ ²i) ^-1h ^h.

The said method that adopts embodiment 1 to provide, because the parameter value using relevant to the validity of transfer of data is as the foundation of determining complex integers matrix, therefore can realize the validity of taking into account transfer of data in the time detecting to received signal, avoid adopting LRA to detect the problem that can not reach optimum achievable rate to signal in prior art.

Below taking the data flow of transmission antennas transmit at the achievable rate of receiving terminal as example, how to describe in detail according to the parameter value relevant to the validity of transfer of data, from complex integers set of matrices, choose complex integers matrix:

First, simply introduce the concept of achievable rate.

At system transmission rate R _tXmeet in the situation of formula [9], if system can ensure that the average error rate of transmission is lower than ε (ε >0) arbitrarily, so, the achievable rate that R is system.

R _TX≤R [9]

The parameter value relevant to validity be the data flow of different transmit antennas transmitting in the case of the value of the achievable rate of receiving terminal, the implementation of described step 31 can comprise following sub-step A～sub-step C above:

Sub-step A: the data flow sending according to transmitting antenna is in the mapping relations of achievable rate and the special parameter of receiving terminal, and the value of special parameter, determines that the data flow of different transmit antennas transmitting is in the minimum value of the achievable rate of receiving terminal;

Sub-step B: determine maximum from the minimum value of each achievable rate of determining;

Sub-step C: from complex integers set of matrices, choose the complex integers matrix that definite maximum is shone upon.

According to the description of above-mentioned sub-step A～sub-step C, if hypothesis will (be expressed as { P from the complex integers set of matrices being made up of L complex integers matrix ₁, P ₂..., P _k..., P _l) in choose complex integers matrix, so, can be first according to the mapping relations shown in following formula [10], determine respectively each the complex integers matrix adopting in this set, calculate the data flow of being launched by the different transmit antennas value at the achievable rate of receiving terminal.

$R_{k,m}=\log \left(\frac{1}{{\mathrm{\σ}}^2{\left|\right|g_{k,m}\left|\right|}^2+{\left|\right|H^T{g}_{k,m}-p_{k,m}\left|\right|}^2}\right)---\left[10\right]$

Wherein, R _k,mrepresent to adopt complex integers matrix P _kcalculate that receiving terminal receives by the data flow of transmission antennas transmit that is numbered m in the value of the achievable rate of receiving terminal; For the numbering of the complex integers matrix in complex integers set of matrices, its span is [1, L], the numbering that m is transmitting antenna, and its span is [1, N _t].

According to the mapping relations shown in formula [10], for each complex integers matrix P _kcan calculate one group of R _k,mvalue, and then can according to determine according to objective criteria certain group achievable rate value, realize choosing complex integers matrix.

Such as, with complex integers matrix P _kfor example, can be according to P _kevery column matrix element (N altogether _trow) respectively form N _tindividual column vector, the data flow of being launched by different transmit antennas that definite receiving terminal receives respectively, in the value of the achievable rate of receiving terminal, finally obtains one group of R _k,mvalue, i.e. N _tindividual achievable rate R _k,mvalue.Afterwards, can, according to following objective criteria, realize choosing complex integers matrix:

First, determine this N obtaining _tindividual R _k,mminimum value.Such as, with complex integers set of matrices { P ₁, P ₂..., P _lbe example, by all complex integers matrixes in this complex integers set of matrices are carried out to aforesaid operations, can determine the value of L minimum achievable rate.

Then,, from the value of determine L minimum achievable rate, choose the value of maximum achievable rate.

Finally, taking the value of this maximum achievable rate of choosing as foundation, from complex integers set of matrices { P ₁, P ₂..., P _lin, choose that complex integers matrix of the value mapping of this maximum achievable rate.

To sum up, in the time that the parameter value relevant to validity is value at the achievable rate of receiving terminal of the data flow of different transmit antennas transmitting, the complex integers matrix of choosing is to make the maximized matrix of formula [10] minimum value., if the complex integers matrix that hypothesis is chosen can be designated as P _opt, following formula [11] is set up:

$P_{\mathrm{opt}}=\underset{k\∈[1,L]}{\max }\left(\underset{m\∈[1,N_t]}{\min }\left(R_{k,m}\right)\right)---\left[11\right]$

Owing to adopting above-mentioned complex integers matrix to choose mode, can make under current channel condition, make the value of the achievable rate that detects the data flow that rear achievable rate is minimum as far as possible high, thereby improve the validity of transfer of data.

Below further introduce the acquisition pattern of the complex integers set of matrices described in embodiment 1.

Mention above, complex integers set of matrices is to be made up of the complex integers matrix obtaining by channel matrix decomposition.The concrete matrix disassembling method adopting can have a variety of, the for example method of exhaustion, in given interval, traversal institute, likely as the complex integers of the matrix element of complex integers matrix, then generates multiple complex integers matrixes according to these complex integers, thus formation complex integers set of matrices.

In embodiment 1, a kind of complex integers set of matrices acquisition methods of the low complex degree that is different from prior art is proposed.Below the method is described in detail.

First the method that matrix is rounded to Schimidt orthogonalization, first embodiment 1 being adopted describes:

Suppose that Arbitrary Matrix V can be expressed as element in V can be designated as the span of i is [1, N _t], so, V is rounded after Schimidt orthogonalization, can obtain matrix element in B can be designated as wherein the relation of the element in V and B is as shown in the formula shown in [12] and formula [13]:

β ₁＝v ₁ [12]

${\mathrm{\&beta;}}_n=v_n-\underset{i=1}{\overset{n-1}{\mathrm{\&Sigma;}}}\left[\frac{<v_n,{\mathrm{\&beta;}}_i>}{<{\mathrm{\&beta;}}_i,{\mathrm{\&beta;}}_i>}\right]{\mathrm{\&beta;}}_i---\left[13\right]$

In above formula, the span of n is [2, N _t], <> represents inner product of vectors, [] represents to round operation.

The relation of V and B is suc as formula shown in [14].

V＝BA [14]

Wherein, A decomposes to V the complex integers matrix obtaining, and specifically can be expressed as suc as formula the form shown in [15]:

In embodiment 1, for reducing the computation complexity of matrix B, can proceed as follows:

First, matrix V is carried out to auto-correlation, obtain matrix R.Shown in [16].

$R=V^{H}V=\left[\begin{array}{cccc}<v_1,v_1>& <v_1,v_2>& <v_1,v_3>& <v_1,v_4>\\ <v_2,v_1>& <v_2,v_2>& <v_2,v_3>& <v_2,v_4>\\ <v_3,v_1>& <v_3,v_2>& <v_3,v_3>& <v_3,v_4>\\ <v_4,v_1>& <v_4,v_2>& <v_4,v_3>& <v_4,v_4>\end{array}\right]---\left[16\right]$

Then, carry out for the matrix element in every a line of R respectively: the matrix element divided by this row on leading diagonal.Thereby the matrix K shown in the formula of obtaining [17].

$K=\left[\begin{array}{cccc}1& \left[\frac{<v_1,v_2>}{<v_1,v_1>}\right]& ...& \left[\frac{<v_1,v_{\mathrm{Nt}}>}{<v_1,v_1>}\right]\\ \left[\frac{<v_2,v_1>}{<v_2,v_2>}\right]& 1& & \left[\frac{<v_2,v_{\mathrm{Nt}}>}{<v_2,v_2>}\right]\\ .& & & \\ .& & 1& \\ .& & & \\ \left[\frac{<v_{\mathrm{Nt}},v_1>}{<v_4,v_4>}\right]& ...& \left[\frac{<v_{\mathrm{Nt}},v_{\mathrm{Nt}-1}>}{<v_4,v_4>}\right]& 1\end{array}\right]---\left[17\right]$

In the matrix shown in formula [17], except being the matrix element of " 1 ", in other matrix elements and formula [13] be corresponding, therefore, according to formula [17], can calculate easily the matrix element in matrix B, thus the B computation complexity reducing.

It should be noted that, if certain column matrix element of K is 0, V is without carrying out orthogonalization.This situation is called invalid orthogonalization.

Based on the above-mentioned method that matrix is rounded to Schimidt orthogonalization, below further introduce the low complex degree that proposes in embodiment 1, adopt the method that repeatedly rounds Schimidt orthogonalization to carry out the detailed process of channel matrix decomposition.In this process, the number of times that rounds Schimidt orthogonalization can be determined by actual conditions, supposes that this number of times is D here.

The first step of this process is: by exchanging the different lines vector of channel matrix H, obtain the each channel matrix after displacement.For ease of describing, the set hereinafter channel matrix after all displacements by obtaining here being formed is called permutation matrix set.

Second step is: utilize the each channel matrix after displacement, H is rounded to Schimidt orthogonalization processing, obtain complex integers set of matrices.

For the first step, if the size of H is N _r× N _t, so, can suppose that permutation matrix set is wherein, the each matrix in Swap all meets: each row only contains an element 1, and any two be listed as 1 in different rows.Matrix in Swap can be expressed as S _l, the span of l be [1, (N _t)! ].

For second step, its implementation can be as follows:

Using channel matrix H as pending channel matrix set, and treat the circulation of processing channel set of matrices and carry out specific operation, until obtain D complex integers matrix subclass.This D complex integers matrix subclass form the complex integers set of matrices of expecting acquisition.

Wherein, above-mentioned specific operation can comprise: utilize each matrix for the treatment of in processing channel set of matrices rounds Schimidt orthogonalization processing, obtains complex integers matrix subclass and channel matrix set after treatment; Pending channel matrix set is updated to channel matrix set after treatment.For example, the implementation procedure of this specific operation is as follows:

First, utilize channel matrix H as pending channel matrix set is carried out rounding Schimidt orthogonalization processing as shown in formula [18], obtain complex integers matrix subclass A _{schmit_1}with channel matrix set H after treatment _{schmit_1}.Wherein, A _{schmit_1}in element can be expressed as h _{schmit_1}in element can be expressed as H _{schmit_1_l}.The span of l be [1, (N _t)! ].

H·S _l＝H _{schmit_1_l}A _{schmit_1_l} [18]

Then, with H _{schmit_1}as pending channel matrix set, and utilize it is carried out rounding Schimidt orthogonalization processing as shown in formula [19], obtain complex integers matrix subclass A _{schmit_2}with channel matrix set H after treatment _{schmit_2}.Wherein, A _{schmit_2}in element can be expressed as h _{schmit_2}in element can be expressed as H _{schmit_2_l}.The span of l be [1, (N _t)! ].

H _{schmit_1}·S _l＝H _{schmit_2_l}A _{schmit_2_l} [19]

The rest may be inferred, can determine and carry out the formula that rounds Schimidt orthogonalization processing time institute's foundation for the D time as shown in the formula shown in [20].

H _{schmit_D-1}·S _l＝H _{schmit_D_l}A _{schmit_D_l} [20]

By carrying out above-mentioned specific operation, can obtain multiple complex integers matrix subclass, be respectively A _{schmit_1}, A _{schmit_2}..., A _{schmit_D}.Those complex integers matrix subclass form the complex integers set of matrices of expecting acquisition in embodiment 1 jointly.

Determine the mode of complex integers set of matrices than adopting the method for exhaustion, the mode that adopts repeatedly execution to round Schimidt orthogonalization in embodiment 1 determines that the benefit of complex integers set of matrices is, the scale of the final complex integers set of matrices obtaining is limited within the acceptable range, reduced the data scale of this complex integers set of matrices.Than adopting the method for exhaustion to determine the mode of complex integers set of matrices, which higher or dual-mode antenna number is larger in signal to noise ratio in the situation that, can complete obtaining complex integers set of matrices with greater efficiency.

Embodiment 2

Embodiment 2 provides the auxiliary signal supervisory instrument of preliminary treatment in a kind of multi-input multi-output system, adopts LRA to detect the problem of the achievable rate that can not reach optimum in order to solve in prior art to signal.The concrete structure schematic diagram of this signal supervisory instrument as shown in Figure 4, comprises that matrix chooses unit 41 and transmitted signal determining unit 42.Being specifically described as follows of these two functional units:

Matrix is chosen unit 41, for according to the parameter value relevant to the validity of transfer of data, chooses complex integers matrix from complex integers set of matrices.Wherein, complex integers set of matrices is made up of the complex integers matrix obtaining by channel matrix decomposition.

Transmitted signal determining unit 42, for choosing according to receiving signal, detection matrix and matrix the complex integers matrix of choosing unit 41, determines the estimated value of the data flow of transmitting.

Optionally, in the time that the parameter value relevant to the validity of transfer of data is value at the achievable rate of receiving terminal of the data flow of different transmit antennas transmitting, matrix is chosen unit 41 and can be divided into achievable rate minimum value determination module, maximum determination module and matrix and choose module.Being described below of each functional module:

Achievable rate minimum value determination module, for the value at the achievable rate of receiving terminal and the mapping relations of special parameter and special parameter according to the data flow of transmitting antenna transmission, determine that the data flow of different transmit antennas transmitting is in the minimum value of the achievable rate of receiving terminal; Wherein, the value of special parameter comprises: the complex integers matrix in performance number, channel matrix and the complex integers set of matrices of detection matrix, white Gaussian noise;

Maximum determination module, determines maximum for the minimum value of each achievable rate of determining from achievable rate minimum value determination module;

Matrix is chosen module, for from complex integers set of matrices, chooses the complex integers matrix that the definite maximum of maximum determination module is shone upon.

The device that adopts embodiment 2 to provide, because the parameter value using relevant to the validity of transfer of data is as the foundation of determining complex integers matrix, therefore can realize the validity of taking into account transfer of data in the time detecting to received signal, avoid adopting LRA to detect the problem of the achievable rate that can not reach optimum to signal in prior art.

In the embodiment of the present application, by experiment, contrasted data flow that the input scheme that adopts the embodiment of the present application to provide can the reach achievable rate at receiving terminal, and the LRA of employing prior art detects the data flow that can the reach achievable rate at receiving terminal.Comparing result as shown in Figure 5.

Shown in Fig. 5, in coordinate system, abscissa is SNR (being SINR); Ordinate is the achievable rate of data flow at receiving terminal.The data flow that a line more on the lower can reach for employing LRA detects is at the achievable rate curve of receiving terminal, the input scheme of more top side's a line for adopting the embodiment of the present application to provide, when the parameter value relevant to validity be data flow in the case of the value of the achievable rate of receiving terminal, the data flow that can reach is at the achievable rate curve of receiving terminal.

As seen from Figure 5, detect than LRA, the input scheme that adopts the embodiment of the present application to provide, can promote the achievable rate of data flow at receiving terminal, has improved the transmission availability of system.

Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt complete hardware implementation example, completely implement software example or the form in conjunction with the embodiment of software and hardware aspect.And the present invention can adopt the form at one or more upper computer programs of implementing of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) that wherein include computer usable program code.

The present invention is with reference to describing according to flow chart and/or the block diagram of the method for the embodiment of the present invention, equipment (system) and computer program.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or the combination of square frame.Can provide these computer program instructions to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, the instruction that makes to carry out by the processor of computer or other programmable data processing device produces the device for realizing the function of specifying at flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame.

These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, the instruction that makes to be stored in this computer-readable memory produces the manufacture that comprises command device, and this command device is realized the function of specifying in flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame.

These computer program instructions also can be loaded in computer or other programmable data processing device, make to carry out sequence of operations step to produce computer implemented processing on computer or other programmable devices, thereby the instruction of carrying out is provided for realizing the step of the function of specifying in flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame on computer or other programmable devices.

In a typical configuration, computing equipment comprises one or more processors (CPU), input/output interface, network interface and internal memory.

Internal memory may comprise the volatile memory in computer-readable medium, and the forms such as random access memory (RAM) and/or Nonvolatile memory, as read-only memory (ROM) or flash memory (flash RAM).Internal memory is the example of computer-readable medium.

Computer-readable medium comprises that permanent and impermanency, removable and non-removable media can realize information storage by any method or technology.Information can be module or other data of computer-readable instruction, data structure, program.The example of the storage medium of computer comprises, but be not limited to phase transition internal memory (PRAM), static RAM (SRAM), dynamic random access memory (DRAM), the random access memory (RAM) of other types, read-only memory (ROM), Electrically Erasable Read Only Memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus or any other non-transmission medium, can be used for the information that storage can be accessed by computing equipment.According to defining herein, computer-readable medium does not comprise temporary computer readable media (transitory media), as data-signal and the carrier wave of modulation.

Also it should be noted that, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, commodity or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, commodity or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, commodity or the equipment that comprises described key element and also have other identical element.

The embodiment that it will be understood by those skilled in the art that the application can be provided as method, system or computer program.Therefore, the application can adopt complete hardware implementation example, completely implement software example or the form in conjunction with the embodiment of software and hardware aspect.And the application can adopt the form at one or more upper computer programs of implementing of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) that wherein include computer usable program code.

The embodiment that the foregoing is only the application, is not limited to the application.To those skilled in the art, the application can have various modifications and variations.Any amendment of doing within all spirit in the application and principle, be equal to replacement, improvement etc., within all should being included in the application's claim scope.

Claims (8)

1. the auxiliary signal detecting method of preliminary treatment in multi-input multi-output system, is characterized in that, comprising:

According to the parameter value relevant to the validity of transfer of data, from complex integers set of matrices, choose complex integers matrix; Wherein, described complex integers set of matrices is made up of the complex integers matrix obtaining by channel matrix decomposition;

According to the complex integers matrix that receives signal, detects matrix and choose, determine the estimated value of the data flow of transmitting;

Wherein, described detection matrix be according to described channel matrix and described in the complex integers matrix chosen determine.

2. the method for claim 1, it is characterized in that, in the time that the relevant parameter value of validity described and transfer of data is value at the achievable rate of receiving terminal of the data flow of different transmit antennas transmitting, according to the relevant parameter value of validity described and transfer of data, from complex integers set of matrices, choose complex integers matrix, comprising:

Value according to the data flow of transmission antennas transmit at the achievable rate of receiving terminal and the mapping relations of special parameter and described special parameter, determines that respectively the data flow of described different transmit antennas transmitting is in the minimum value of the achievable rate of receiving terminal; Wherein, the value of described special parameter comprises: the complex integers matrix in performance number, channel matrix and the described complex integers set of matrices of described detection matrix, white Gaussian noise;

From the minimum value of all achievable rates of determining, determine maximum;

From described complex integers set of matrices, choose the complex integers matrix that described maximum is shone upon.

3. method as claimed in claim 1 or 2, is characterized in that, adopts following manner to obtain described complex integers set of matrices:

Determine the each channel matrix after displacement; Each channel matrix after described displacement is that the different column vector by exchanging channel matrix obtains;

Utilize the each channel matrix after described displacement, described channel matrix is rounded to Schimidt orthogonalization processing, obtain described complex integers set of matrices.

4. method as claimed in claim 3, is characterized in that, utilizes the each channel matrix after described displacement, and described channel matrix is rounded to Schimidt orthogonalization processing, obtains described complex integers set of matrices, comprising:

Using described channel matrix as pending channel matrix set, and treat the circulation of processing channel set of matrices and carry out specific operation, until obtain the complex integers matrix subclass of predetermined number;

Wherein, the complex integers matrix subclass of described predetermined number forms described complex integers set of matrices;

Described specific operation comprises: utilize the each channel matrix after described displacement, each matrix for the treatment of in processing channel set of matrices rounds Schimidt orthogonalization processing, obtains complex integers matrix subclass and channel matrix set after treatment; Pending channel matrix set is updated to channel matrix set after treatment.

5. the auxiliary signal supervisory instrument of preliminary treatment in multi-input multi-output system, is characterized in that, comprising:

Matrix is chosen unit, for according to the parameter value relevant to the validity of transfer of data, chooses complex integers matrix from complex integers set of matrices; Wherein, described complex integers set of matrices is made up of the complex integers matrix obtaining by channel matrix decomposition;

Transmitted signal determining unit, for choose the complex integers matrix of unit selection according to reception signal, detection matrix and matrix, determines the estimated value of the data flow of transmitting;

Wherein, described detection matrix be according to described channel matrix and described in the complex integers matrix chosen determine.

6. device as claimed in claim 5, is characterized in that, in the time that the relevant parameter value of validity described and transfer of data is value at the achievable rate of receiving terminal of the data flow of different transmit antennas transmitting, matrix is chosen unit and comprised:

Achievable rate minimum value determination module, for the mapping relations at achievable rate and the special parameter of receiving terminal according to the data flow of transmitting antenna transmission, and the value of described special parameter, determine that respectively the data flow of described different transmit antennas transmitting is in the minimum value of the achievable rate of receiving terminal; Wherein, the value of described special parameter comprises: the complex integers matrix in performance number, channel matrix and the described complex integers set of matrices of described detection matrix, white Gaussian noise;

Maximum determination module, determines maximum for the minimum value of each achievable rate of determining from achievable rate minimum value determination module;

Matrix is chosen module, for from described complex integers set of matrices, chooses the complex integers matrix that the definite maximum of maximum determination module is shone upon.

7. the device as described in claim 5 or 6, is characterized in that, described device also comprises:

Matrix determining unit, for determining the each channel matrix after displacement; Each channel matrix after described displacement is that the different column vector by exchanging channel matrix obtains;

Orthogonalization process unit, for utilizing the each channel matrix after the definite described displacement of matrix determining unit, rounds Schimidt orthogonalization processing to described channel matrix, obtains described complex integers set of matrices.

8. device as claimed in claim 7, it is characterized in that, described orthogonalization process unit specifically for: using described channel matrix as pending channel matrix set, and treat processing channel set of matrices circulation and carry out specific operation, until obtain the complex integers matrix subclass of predetermined number;

Wherein, the complex integers matrix subclass of described predetermined number forms described complex integers set of matrices;

Described specific operation comprises: utilize the each channel matrix after described displacement, each matrix for the treatment of in processing channel set of matrices rounds Schimidt orthogonalization processing, obtains complex integers matrix subclass and channel matrix set after treatment; Pending channel matrix set is updated to channel matrix set after treatment.