CN101902306A - Method and device for multi-antenna space-time processing received data and block interference cancellation - Google Patents

Abstract

The invention discloses a method and a device for multi-antenna space-time processing received data and block interference cancellation, and the method for multi-antenna space-time processing the block interference cancellation comprises the following steps: evaluating a conjugate transpose matrix of a sub-channel state matrix in a channel state matrix based on the channel state matrix of the received data; constructing an interference cancellation matrix according to the channel state matrix and the conjugate transpose matrix of the sub-channel state matrix; and performing block signal separation and interference cancellation on the received data by adopting the interference cancellation matrix. The invention can maintain the system overall properties, lower complexity of processing the received data and have strong practicability.

Description

The method and apparatus that suppresses is disturbed in multi-antenna space-time processing received data and grouping

Technical field

(Multiple-Input Multiple-Output, MIMO) mobile radio system relates in particular to a kind of multi-antenna space-time processing received data and the method and apparatus that suppresses is disturbed in grouping to the present invention relates to multiple-input and multiple-output.

Background technology

The 3Gpp Long Term Evolution (Long-Term Evolution, LTE) in the system, MIMO technology key property is introduced into, and the LTE system supports multiple MIMO mode, basic MIMO model is descending 2x2, a up 1x2 antenna.Concrete MIMO technology comprises space-frequency coding, precoding and the wave beam formation etc. of descending employing.The virtual MIMO technology of up employing, this technology can dynamically match user terminal, and shares identical time-frequency domain resources, and carry out multi-user virtual MIMO and send, thus the capacity of raising up-link.

[permitted Xiao Hong etc., " based on the Space-Time Block Coding of hierarchy ", electric wave science journal at document, 2004, Vol.19, No.2.] in, provided a kind of in conjunction with layered space-time architecture and Space-Time Block Coding (SpaceTime Block Code, space-time coding method STBC).Employing is divided into groups to transmitting antenna at transmitting terminal, carries out independently space-time block code for every group, suppresses and divide into groups to disturb at receiving terminal, and realizes decoding with singular value decomposition method.At document [war Jin Long etc., " a kind of improvement of LSTBC+OFDM layered approach ", the electric wave science journal, 2005, Vol.20, No1.] in, mutually orthogonal based on the subcarrier selection matrix of different user among the OFDMA (OrthogonalFrequency-Division Multiple Access), a kind of improved layered approach of the space-time block code LSTBC (LayeredSpace-Time Block Code) of frequency selective fading channels lower leaf structure has been proposed.Transmitting terminal adopts the space-time block code of hierarchy in conjunction with the OFDM technology, has proposed to utilize OFDM sub-carriers selection matrix to divide into groups to disturb at receiving terminal and has suppressed, and then every layer of tradition of carrying out Space-Time Block Coding of LSTBC is decoded.With respect to the grouping disturbance restraining method based on singular value decomposition, this method has reduced the complexity of system receiver design.

The signal processing algorithm that suppresses to be based on the antenna grouping is disturbed in above-mentioned grouping, will suppress the influence from other group signal (being considered as disturbing) when receiving terminal is decoded to the signal that receives first group, and complexity of decoding has just obtained reduction like this.But, adopt grouping disturbance restraining method separation signal for the space-time block code of hierarchy usually at receiving terminal, and the method operand of inverting based on direct matrix is bigger, is difficult to use in real system based on matrix inversion.

Summary of the invention

The technical problem to be solved in the present invention is exactly the method and apparatus that proposes a kind of multi-antenna space-time processing received data and grouping interference inhibition, the interference cancellation method that employing need not to invert separates each group signal, has reduced the complexity and the operand that receive data processing.

In order to solve the problems of the technologies described above, handle grouping when the invention provides a kind of multi-antenna space and disturb the method that suppresses, comprising:

According to the channel state matrix that receives data, estimate the associate matrix of described channel state matrix sub-channels state matrix;

According to the associate matrix of described channel state matrix and sub-channel matrix, the structure interference cancellation matrix;

Utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data.

Further, said method also can have following characteristics:

If described channel state matrix is not square formation, then carry out linear transformation to receiving data earlier, channel state matrix is converted to the channel state matrix of box formation, estimate the associate matrix of the channel state matrix sub-channels state matrix of this box formation again;

Wherein, the channel state matrix of described box formation is an orthogonal matrix.

Further, said method also can have following characteristics:

As number of transmit antennas M _t=4, reception antenna is counted M _r=2, the channel state matrix that box formation is set is:

The interference cancellation matrix D of structure is

Wherein, sub-channel matrix H ₁, H ₂, H ₃And H ₄Be respectively

$H_1=\left[\begin{array}{cc}{h}_{\mathrm{1,1}}& {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}\\ {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}^{*}& {-h}_{\mathrm{1,1}}^{*}\end{array}\right]$ $H_3=\left[\begin{array}{cc}{h}_{\mathrm{3,1}}& h_{\mathrm{4,1}}\\ {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,1}}^{*}& -h_{\mathrm{3,1}}^{*}\end{array}\right]$

$H_2=\left[\begin{array}{cc}{h}_{\mathrm{1,2}}& {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,2}}\\ {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{2,2}}^{*}& -h_{\mathrm{1,2}}^{*}\end{array}\right]$ $H_4=\left[\begin{array}{cc}{h}_{\mathrm{3,2}}& {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,2}}\\ {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{4,2}}^{*}& -{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{3,2}}^{*}\end{array}\right]$

H ₁, H ₄Associate matrix be respectively

Wherein,

$H_1^{-}=\left[\begin{array}{cc}{h}_{\mathrm{1,1}}^{*}& h_{\mathrm{2,1}}\\ {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}^{*}& -h_{\mathrm{1,1}}\end{array}\right],$ $H_4^{-}=\left[\begin{array}{cc}{h}_{\mathrm{3,2}}^{*}& h_{\mathrm{4,2}}\\ {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{4,2}}^{*}& -h_{\mathrm{3,2}}\end{array}\right].$

Further, said method also can have following characteristics:

The described interference cancellation matrix of utilizing is to receiving data and organize Signal Separation and interference eliminated specifically being meant:

Matrix both sides while premultiplication interference cancellation matrix D obtains each road signal to received signal.

Further, said method also can have following characteristics:

Organize after Signal Separation and the interference eliminated receiving data, each the road signal that obtains is carried out maximum-likelihood decoding respectively, obtain sending the estimated value of data.

In order to solve the problems of the technologies described above, the invention provides a kind of method of multi-antenna space-time processing received data, comprising:

According to the channel state matrix that receives data, estimate the associate matrix of described channel state matrix sub-channels state matrix, and according to the associate matrix of described channel state matrix and sub-channel matrix, structure interference cancellation matrix;

Utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data;

Each the road signal that obtains is carried out maximum-likelihood decoding respectively, obtain sending the estimated value of data.

Further, said method also can have following characteristics:

If described channel state matrix is not square formation, then carry out linear transformation to receiving data earlier, channel state matrix is converted to the channel state matrix of box formation, estimate the associate matrix of the channel state matrix sub-channels state matrix of this box formation again;

Wherein, the channel state matrix of described box formation is an orthogonal matrix.

In order to solve the problems of the technologies described above, handle grouping when the invention provides a kind of multi-antenna space and disturb the device that suppresses, comprising:

Interference cancellation matrix constructing module and group Signal Separation and interference cancellation module,

Described interference cancellation matrix constructing module is used for according to the channel state matrix that receives data, estimate the associate matrix of described channel state matrix sub-channels state matrix, and according to the associate matrix of described channel state matrix and sub-channel matrix, the structure interference cancellation matrix;

Described group of Signal Separation links to each other with the interference cancellation matrix constructing module with interference cancellation module, is used to utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data.

Further, said apparatus also can have following characteristics:

Described device also comprises linear transform module,

Described linear transform module links to each other with the interference cancellation matrix constructing module, be used for when described channel state matrix is not square formation, carry out linear transformation to receiving data, channel state matrix is converted to the channel state matrix of box formation, again the channel state matrix of described box formation is informed described interference cancellation matrix constructing module;

Wherein, the channel state matrix of described box formation is an orthogonal matrix.

Further, said apparatus also can have following characteristics:

Described device also comprises decoding module,

Described decoding module links to each other with interference cancellation module with the group Signal Separation, is used for decoding module and each road signal that group Signal Separation and interference cancellation module obtain are carried out maximum-likelihood decoding respectively, obtains sending the estimated value of data.

The present invention compares with traditional matrix inversion grouping interference suppression algorithm, has kept the entire system performance, has reduced the complexity that receives data processing, has very strong practicality.In addition, the present LTE receive mode that adopts, in the time of can't receiving 4 antenna space-time emission diversities, every antenna all has data conditions on each subcarrier, and the present invention can address this problem, and the present invention also can the compatible space-time emission diversity mode of LTE 4 antennas at present.

Description of drawings

Fig. 1 is the flow chart of method of the space-time processing received data of the embodiment of the invention;

Fig. 2 (a) and Fig. 2 (b) are the simulation curves of method of the space-time processing received data of the embodiment of the invention;

When being the embodiment of the invention empty, handles Fig. 3 the structured flowchart of grouping interference suppression equipment.

Embodiment

The present invention adopts the grouping disturbance restraining method based on non-matrix inversion that each group signal is separated, and this method does not need channel state matrix is inverted, and has reduced complexity.In addition, the present invention is used for the disturbance restraining method that divides into groups with linear transformation, by linear transformation the orthogonality of every layer of empty time-code is converted to the orthogonality of channel state matrix at receiving terminal.

The present invention is described in detail below in conjunction with drawings and the specific embodiments.

As shown in Figure 1, the method for the space-time processing received data of the embodiment of the invention, the receiving terminal of handling when being applied to multi-antenna space comprises the steps:

Step 101 according to the channel state matrix that receives data, is estimated the associate matrix of described channel state matrix sub-channels state matrix;

In this step, channel state matrix is a square formation, comprises a plurality of sub-channel matrixes (being generally 4), and its sub-channel matrix also is a square formation; If the original channel state matrix is not a square formation, then carry out linear transformation to receiving data earlier, channel state matrix is converted to the channel state matrix (promptly utilizing linear transformation the orthogonality of every layer of empty time-code to be converted to the orthogonality of channel state matrix) of box formation, estimate the associate matrix of the channel state matrix sub-channels state matrix of this box formation again, and carry out subsequent treatment;

Step 102, according to the associate matrix of described channel state matrix and sub-channel matrix, the structure interference cancellation matrix;

Step 103 utilizes interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data;

In this step, particularly, can be matrix both sides premultiplication interference cancellation matrix simultaneously to received signal;

Step 104 is carried out maximum-likelihood decoding respectively to each the road signal that obtains, and promptly obtains sending the estimated value of data.

Handle grouping when wherein, step 101～103 are empty that the present invention proposes and disturb the method that suppresses.

Be elaborated with a concrete example of using below:

At first, receive data and carry out linear transformation, promptly utilize linear transformation the orthogonality of every layer of empty time-code to be converted to the orthogonality of channel state matrix:

Suppose the number of transmit antennas M of multiaerial system _t=4, reception antenna is counted M _r=2, the i transmit antennas is h to the path fading coefficient of j root reception antenna _Ij(i=1,2,3,4; J=1,2), and h _IjCan accurately estimate, and further suppose h in the time of a Space-Time Block Coding word _IjDo not change.If it is { s that two groups of needs carry out symbols encoded ₁, s ₂And { s ₃, s ₄, then the received signal matrix can be expressed as:

$\left[\begin{array}{cc}{y}_{11}& y_{12}\\ y_{21}& y_{22}\end{array}\right]=\left[\begin{array}{cccc}{h}_{11}& h_{21}& h_{31}& h_{41}\\ h_{12}& h_{22}& h_{32}& h_{42}\end{array}\right]\left[\begin{array}{cc}{s}_1& -{\mathrm{<figure-callout\; id="2"\; label="s"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">s</figure-callout>}}_2^{*}\\ s_2& s_1^{*}\\ s_3& -{\mathrm{<figure-callout\; id="4"\; label="s"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">s</figure-callout>}}_4^{*}\\ s_4& s_3^{*}\end{array}\right]+\left[\begin{array}{cc}{n}_{11}& n_{12}\\ n_{21}& n_{22}\end{array}\right]---\left(1\right)$

N in the formula _IjRepresent i root antenna at j white Gaussian noise constantly, superscript * grips operator altogether;

Wherein

Be original channel state matrix, because of it is not a square formation, so use linear transformation that it is become box formation:

Formula (1) is carried out linear transformation can be got:

$\left[\begin{array}{c}{y}_1\\ {\mathrm{<figure-callout\; id="2"\; label="y"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">y</figure-callout>}}_2\end{array}\right]=\left[\begin{array}{cc}{H}_1& H_3\\ H_2& H_4\end{array}\right]\left[\begin{array}{c}{S}_1\\ {\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">S</figure-callout>}}_2\end{array}\right]+\left[\begin{array}{c}{n}_1\\ n_2\end{array}\right]---\left(2\right)$

Wherein

For receiving vector (y _IjRepresent that i root antenna is in j received signal constantly); The channel state matrix of box formation

Sub-channels state matrix H ₁, H ₂, H ₃And H ₄Be respectively

$H_1=\left[\begin{array}{cc}{h}_{\mathrm{1,1}}& {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}\\ {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}^{*}& {-h}_{\mathrm{1,1}}^{*}\end{array}\right]$ $H_3=\left[\begin{array}{cc}{h}_{\mathrm{3,1}}& {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,1}}\\ {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,1}}^{*}& -h_{\mathrm{3,1}}^{*}\end{array}\right]$

${\mathrm{<figure-callout\; id="2"\; label="H"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">H</figure-callout>}}_2=\left[\begin{array}{cc}{h}_{\mathrm{1,2}}& {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,2}}\\ {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{2,2}}^{*}& -{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{1,2}}^{*}\end{array}\right]$ ${\mathrm{<figure-callout\; id="4"\; label="H"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">H</figure-callout>}}_4=\left[\begin{array}{cc}{h}_{\mathrm{3,2}}& {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,2}}\\ {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{4,2}}^{*}& -{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{3,2}}^{*}\end{array}\right]$

S transmits ₁=[s ₁s ₂] ^T, S ₂=[s ₃s ₄] ^TThe white complex gaussian noise vector that receives is

n _IjRepresent i root antenna at j white Gaussian noise constantly, superscript T is a transposed operator.

The method that processing grouping interference suppresses when then, adopting sky is organized signal and is separated each.Grouping disturb to suppress to be based on the signal processing method of antenna grouping, and core concept is the influence that will suppress when receiving terminal is decoded to the signal that receives a certain group from other group signal (being considered as disturbing), and detailed step is as follows:

A) associate matrix of estimator channel state matrix

The note matrix H ₁, H ₄Associate matrix be respectively Superscript-be the conjugate transpose operator, then

$H_1^{-}=\left[\begin{array}{cc}{h}_{\mathrm{1,1}}^{*}& {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}\\ {\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}^{*}& -h_{\mathrm{1,1}}\end{array}\right],$ $H_4^{-}=\left[\begin{array}{cc}{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{3,2}}^{*}& {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,2}}\\ {\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{4,2}}^{*}& -h_{\mathrm{3,2}}\end{array}\right]---\left(3\right)$

By formula (2) 4 diagonal matrix H that channel state matrix comprised as can be known ₁, H ₂, H ₃And H ₄All be I graceful Ti (Alamouti, name) battle array, verified Alamouti battle array is sealed for addition, multiplication and inversion operation, be any two diagonal angle Alamouti battle arrays and still be diagonal angle Alamouti battle array with long-pending, the inverse matrix of any reversible diagonal angle Alamouti battle array still is a diagonal angle Alamouti battle array.

So,

$H_1^{-}{H}_1=(h_{\mathrm{1,1}}^{*}{h}_{\mathrm{1,1}}+{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}}^{*}{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{2,1}})\left[\begin{array}{cc}1& 0\\ 0& 1\end{array}\right],$ $H_4^{-}{\mathrm{<figure-callout\; id="4"\; label="H"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">H</figure-callout>}}_4=({\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{3,2}}^{*}{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{3,2}}+{\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">\; <figure-callout\; id="2"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>\; </figure-callout>}}_{\mathrm{4,2}}^{*}{\mathrm{<figure-callout\; id="4"\; label="h"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{\mathrm{4,2}})\left[\begin{array}{cc}1& 0\\ 0& 1\end{array}\right]---\left(4\right)$

B) according to the associate matrix of channel state matrix and sub-channel matrix, construct interference cancellation matrix D

Note $D=\left[\begin{array}{cc}{H}_4^{-}& -H_3{H}_4^{-}\\ -H_2{H}_1^{-}& H_1^{-}{H}_1\end{array}\right]$

C) utilize interference cancellation matrix to organize Signal Separation and interference eliminated,, obtain (2) formula both sides while premultiplication interference cancellation matrix D

$Z=D\left[\begin{array}{c}{y}_1\\ {\mathrm{<figure-callout\; id="2"\; label="y"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">y</figure-callout>}}_2\end{array}\right]=D\left[\begin{array}{cc}{H}_1& H_3\\ H_2& H_4\end{array}\right]\left[\begin{array}{c}{S}_1\\ {\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">S</figure-callout>}}_2\end{array}\right]+D\left[\begin{array}{c}{n}_1\\ {\mathrm{<figure-callout\; id="2"\; label="n"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">n</figure-callout>}}_2\end{array}\right]$

$=\left[\begin{array}{cc}{H}_4^{-}{H}_4{H}_1-H_3{H}_4^{-}{\mathrm{<figure-callout\; id="2"\; label="H"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">H</figure-callout>}}_2& 0\\ 0& H_1^{-}{H}_1{H}_4-H_2{H}_1^{-}{H}_3\end{array}\right]\left[\begin{array}{c}{S}_1\\ {\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">S</figure-callout>}}_2\end{array}\right]+D\left[\begin{array}{c}{n}_1\\ n_2\end{array}\right]---\left(5\right)$

$=\left[\begin{array}{c}(H_4^{-}{H}_4{H}_1-H_3{H}_4^{-}{H}_2)S_1\\ (H_1^{-}{H}_1{H}_4-H_2{H}_1^{-}{H}_3){\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">S</figure-callout>}}_2\end{array}\right]+D\left[\begin{array}{c}{n}_1\\ {\mathrm{<figure-callout\; id="2"\; label="n"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">n</figure-callout>}}_2\end{array}\right]$

Can find out that by formula (5) interference of two paths of signals has been eliminated, the signal { s of two groups of antenna transmission ₁, s ₂And { s ₃, s ₄Can detect respectively.

At last, respectively every road signal is carried out maximum-likelihood decoding again:

Then formula (5) is made

Can get

$\left[\begin{array}{c}{z}_1\\ {\mathrm{<figure-callout\; id="2"\; label="z"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">z</figure-callout>}}_2\end{array}\right]=H_{d1}{S}_1+{\mathrm{Dn}}_1,$ $\left[\begin{array}{c}{z}_3\\ {\mathrm{<figure-callout\; id="4"\; label="z"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">z</figure-callout>}}_4\end{array}\right]=H_{d2}{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">S</figure-callout>}}_2+{\mathrm{Dn}}_2---\left(6\right)$

Easily demonstrate,prove H _D1And H _D2Be the Alamouti battle array, and then as can be known

With

Be diagonal matrix, and main diagonal element separately equates to be made as respectively a ₁, a ₂Then

$H_{d1}^{-}\left[\begin{array}{c}{z}_1\\ {\mathrm{<figure-callout\; id="2"\; label="z"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">z</figure-callout>}}_2\end{array}\right]=\left[\begin{array}{c}{\stackrel{\&OverBar;}{z}}_1\\ {\stackrel{\&OverBar;}{z}}_2\end{array}\right]=\left[\begin{array}{cc}{a}_1& 0\\ 0& a_1\end{array}\right]S_1+H_{d1}^{-}{\mathrm{Dn}}_1$ $H_{d2}^{-}\left[\begin{array}{c}{z}_3\\ {\mathrm{<figure-callout\; id="4"\; label="z"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">z</figure-callout>}}_4\end{array}\right]=\left[\begin{array}{c}{\stackrel{\&OverBar;}{z}}_3\\ {\stackrel{\&OverBar;}{z}}_4\end{array}\right]=\left[\begin{array}{cc}{a}_2& 0\\ 0& a_2\end{array}\right]{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="H2009102029817E0000021.png,H2009102029817E0000022.png"\; state="\{\{state\}\}">S</figure-callout>}}_2+H_{d2}^{-}{\mathrm{Dn}}_2---\left(7\right)$

Obtain the estimated value deciphered thus:

${\tilde{s}}_1=\frac{{\stackrel{\&OverBar;}{z}}_1}{a_1},$ ${\tilde{s}}_2=\frac{{\stackrel{\&OverBar;}{z}}_2}{a_1},$ ${\tilde{s}}_3=\frac{{\stackrel{\&OverBar;}{z}}_3}{a_2},$ ${\tilde{s}}_4=\frac{{\stackrel{\&OverBar;}{z}}_4}{a_2}---\left(8\right)$

When the reception antenna number increased, said process and 2 reception antennas were similar, repeat no more.This as can be seen method does not need channel state matrix is inverted, when guaranteeing overall performance, reduced the complexity of method, the channel state matrix that the method for this non-matrix inversion only is suitable for after channel state matrix or the process linear transformation is the situation of square formation.

The simulation curve of method of the space-time processing received data of the embodiment of the invention has been shown among Fig. 2.

Channel is the flat Rayleigh fading channel during emulation, and noise obedience average is 0 multiple Gaussian Profile.Provided method of the present invention (with " NEW " expression) among Fig. 2 (a), Fig. 2 (b) respectively and be used in 42 receipts TCM (Trellis-codedmodulation with matrix inversion group disturbance restraining method (with " INV " expression), Trellis-coded modulation)-the error rate (BER) curve under the different signal to noise ratio (snr)s of LSTBC during with the LSTBC situation, wherein NEW TCM-LSTBC 4 * 2 represents that promptly the inventive method simulation result curves of adopting 42 to receive antennas, INV TCM-LSTBC 4 * 2 promptly represents to adopt the original matrix of 4 the 2 receipts antennas method simulation result curve of inverting.As can be seen: the method performance that the space-time processing received data of non-matrix inversion of the present invention and grouping interference suppress is suitable with the grouping disturbance restraining method performance of matrix inversion, but method of the present invention has been avoided matrix inversion, has reduced the complexity and the operand of method.

According to embodiments of the invention, to handle grouping when a kind of multi-antenna space is provided and disturb the device that suppresses, the receiving terminal of handling when being applied to multi-antenna space, described receiving terminal can be portable terminals, also can be the base stations.

Fig. 3 is a structured flowchart of handling the grouping interference suppression equipment during according to the embodiment of the invention empty, and as shown in Figure 3, this device comprises: interference cancellation matrix constructing module and group Signal Separation and interference cancellation module,

Described interference cancellation matrix constructing module is used for according to the channel state matrix that receives data, estimate the associate matrix of the sub-channel matrix of reception data, and according to the associate matrix of described channel state matrix and sub-channel matrix, the structure interference cancellation matrix;

Described group of Signal Separation links to each other with the interference cancellation matrix constructing module with interference cancellation module, is used to utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data.

Alternatively, described device also comprises linear transform module,

Described linear transform module links to each other with the interference cancellation matrix constructing module, be used for when described channel state matrix is not square formation, carry out linear transformation to receiving data, channel state matrix is converted to the channel state matrix of box formation, again the channel state matrix of described box formation is informed described interference cancellation matrix constructing module.

Alternatively, described device also comprises decoding module,

Described decoding module links to each other with interference cancellation module with the group Signal Separation, is used for decoding module and each road signal that group Signal Separation and interference cancellation module obtain are carried out maximum-likelihood decoding respectively, obtains sending the estimated value of data.

The realization function of each module of the above device does not repeat them here referring to the specific implementation process of said method.

Certainly; the present invention also can have other various embodiments; under the situation that does not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art work as can make various corresponding changes and distortion according to the present invention, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.

Claims (10)

1. handle grouping during a multi-antenna space and disturb the method that suppresses, comprising:

According to the channel state matrix that receives data, estimate the associate matrix of described channel state matrix sub-channels state matrix;

According to the associate matrix of described channel state matrix and sub-channel matrix, the structure interference cancellation matrix;

Utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data.

2. the method for claim 1 is characterized in that,

If described channel state matrix is not square formation, then carry out linear transformation to receiving data earlier, channel state matrix is converted to the channel state matrix of box formation, estimate the associate matrix of the channel state matrix sub-channels state matrix of this box formation again;

Wherein, the channel state matrix of described box formation is an orthogonal matrix.

3. method as claimed in claim 2 is characterized in that, as number of transmit antennas M _t=4, reception antenna is counted M _r=2, the channel state matrix that box formation is set is: The interference cancellation matrix D of structure is

Wherein, sub-channel matrix H ₁, H ₂, H ₃And H ₄Be respectively

$H_1=\left[\begin{array}{cc}{h}_{\mathrm{1,1}}& h_{\mathrm{2,1}}\\ h_{\mathrm{2,1}}^{*}& {-h}_{\mathrm{1,1}}^{*}\end{array}\right]$ $H_3=\left[\begin{array}{cc}{h}_{\mathrm{3,1}}& h_{\mathrm{4,1}}\\ h_{\mathrm{4,1}}^{*}& -h_{\mathrm{3,1}}^{*}\end{array}\right]$

$H_2=\left[\begin{array}{cc}{h}_{\mathrm{1,2}}& h_{\mathrm{2,2}}\\ h_{\mathrm{2,2}}^{*}& -h_{\mathrm{1,2}}^{*}\end{array}\right]$ $H_4=\left[\begin{array}{cc}{h}_{\mathrm{3,2}}& h_{\mathrm{4,2}}\\ h_{\mathrm{4,2}}^{*}& -h_{\mathrm{3,2}}^{*}\end{array}\right]$

H ₁, H ₄Associate matrix be respectively

Wherein,

$H_1^{-}=\left[\begin{array}{cc}{h}_{\mathrm{1,1}}^{*}& h_{\mathrm{2,1}}\\ h_{\mathrm{2,1}}^{*}& -h_{\mathrm{1,1}}\end{array}\right],$ $H_4^{-}=\left[\begin{array}{cc}{h}_{\mathrm{3,2}}^{*}& h_{\mathrm{4,2}}\\ h_{\mathrm{4,2}}^{*}& -h_{\mathrm{3,2}}\end{array}\right].$

4. method as claimed in claim 3 is characterized in that,

The described interference cancellation matrix of utilizing is to receiving data and organize Signal Separation and interference eliminated specifically being meant:

Matrix both sides while premultiplication interference cancellation matrix D obtains each road signal to received signal.

5. as any described method in the claim 1～4, it is characterized in that,

Organize after Signal Separation and the interference eliminated receiving data, each the road signal that obtains is carried out maximum-likelihood decoding respectively, obtain sending the estimated value of data.

6. the method for a multi-antenna space-time processing received data comprises:

According to the channel state matrix that receives data, estimate the associate matrix of described channel state matrix sub-channels state matrix, and according to the associate matrix of described channel state matrix and sub-channel matrix, structure interference cancellation matrix;

Utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data;

Each the road signal that obtains is carried out maximum-likelihood decoding respectively, obtain sending the estimated value of data.

7. method as claimed in claim 6 is characterized in that,

If described channel state matrix is not square formation, then carry out linear transformation to receiving data earlier, channel state matrix is converted to the channel state matrix of box formation, estimate the associate matrix of the channel state matrix sub-channels state matrix of this box formation again;

Wherein, the channel state matrix of described box formation is an orthogonal matrix.

8. handle grouping during a multi-antenna space and disturb the device that suppresses, it is characterized in that, comprising:

Interference cancellation matrix constructing module and group Signal Separation and interference cancellation module,

Described interference cancellation matrix constructing module is used for according to the channel state matrix that receives data, estimate the associate matrix of described channel state matrix sub-channels state matrix, and according to the associate matrix of described channel state matrix and sub-channel matrix, the structure interference cancellation matrix;

Described group of Signal Separation links to each other with the interference cancellation matrix constructing module with interference cancellation module, is used to utilize interference cancellation matrix to organize Signal Separation and interference eliminated to receiving data.

9. device as claimed in claim 8 is characterized in that described device also comprises linear transform module,

Described linear transform module links to each other with the interference cancellation matrix constructing module, be used for when described channel state matrix is not square formation, carry out linear transformation to receiving data, channel state matrix is converted to the channel state matrix of box formation, again the channel state matrix of described box formation is informed described interference cancellation matrix constructing module;

Wherein, the channel state matrix of described box formation is an orthogonal matrix.

10. install as claimed in claim 8 or 9, it is characterized in that described device also comprises decoding module,

Described decoding module links to each other with interference cancellation module with the group Signal Separation, is used for decoding module and each road signal that group Signal Separation and interference cancellation module obtain are carried out maximum-likelihood decoding respectively, obtains sending the estimated value of data.

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