CN101170337A - Multi-antenna and multi-speed transmitter with optimized throughput and its transmission method - Google Patents

Abstract

A multi-antenna multi-speed emitter and a transmission method thereof for optimizing the throughput includes a modulator module, a mode switch processor, and a space-time/space-frequency processor. The modulator module sends out sign sequence S, and the mode switch processor is used to calculate the throughput of the encoding system in matrix transmission when adopting the standby speeds under the corresponding receiver with a receiving method, and selects the transmitting matrix corresponding with the biggest value as the pre-coding matrix P. The space-time/space-frequency processor is used to calculate the sign matrix V, wherein, the matrix V is the multiplication of the pre-coding matrix P and the output sign sequence S. In selecting the transmission mode, the invention selects the maximum value from system throughput of the coding system under various transmission ways with the uniform confidence broadcasting checker as the transmission scheme, thus effectively enhancing the system throughput.

Description

Optimize the multi-antenna and multi-speed transmitter and the launching technique thereof of throughput

Technical field

The invention belongs in the wireless communication system pilosity and penetrate (MIMO, Multiple Input Multiple Output) antenna technical fields, particularly a kind of multi-antenna and multi-speed transmitter and the launching techniques thereof of receiving more.

Background technology

In wireless communication system, for increasing mobile subscriber provides high data rate and multimedia service urgent day by day, and now proved the potential method that high speed wireless data and multimedia service are provided based on the MIMO technology of a plurality of transmissions and reception antenna.

The closed-loop adaptation multiaerial system is selected different sending modes according to channel status and receiver technology at transmitting terminal, pursues the user data-throughput maximization.At present, transmitting terminal is according to different receive modes, different switches in the tupe when empty several.As according to conditional number (condition number) with receive signal to noise ratio (SNR), orthogonal space time packet (O-STBC, speed R=1/2, R=3/4), layered reuse (V-BLAST, speed is number of transmit antennas), switch between three kinds of patterns of beam forming (Beamforming, speed R=1).At receiving terminal, corresponding three class sending modes switch between the receiver algorithm of correspondence respectively.Also have and to adopt space-time block code (STBC, space-time block coding), structure during vertical bell laboratories layered space (V-BLAST), mix three kinds of patterns of STBC and V-BLAST and use different constellation mapping modes, carry out the switching of different mode according to minimum error sign ratio, receiver switches in three kinds of receivers according to the sending mode of selecting.(claiming that hereinafter this Adaptable System is the multimode adaptive MIMO systems).

Under identical sending mode, adopt different receiver technology, its throughput of system difference.In practical communication system, in order to reduce the receiver complexity, linear receiver is the main receiver technology of considering.

Only switch,, can not obtain optimum power system capacity though handoff algorithms is simple based on SNR or conditional number; Just,, in the system that uses chnnel coding, can not be suitable for even formulated the switching criterion of optimal system capacity based on coded system not.How designing the switching of convergence maximum system capacity in coded system, and reduce the complexity of handoff algorithms as far as possible, is the target that those skilled in the art pursue.

Summary of the invention

The invention provides a kind of multi-antenna and multi-speed transmitter and launching technique thereof of optimizing throughput,, be mainly used in the adaptive MIMO systems at the unified tactic pattern that sends of unified belief propagation detector design.

For reaching above-mentioned purpose, the present invention adopts following technical scheme:

A kind of multi-antenna and multi-speed transmitter of optimizing throughput, comprise information source module, the channel encoder module, the bit interleaver module, modulator block, described modulator block output symbol sequence S, it is characterized in that: also comprise mode switch processor and space-time/space-frequency processor, throughput of system when the calculation code system that is used for described mode switch processor adopts the sending metrix of alternative various speed correspondences under the receiver of a certain method of reseptance correspondence, and choose the pre-coding matrix P that the corresponding sending metrix of maximum wherein adopts as system, described space-time/space-frequency processor is used for calculating transmission sign matrix v, and wherein sending metrix V multiply by output symbol sequence S for pre-coding matrix P.

Wherein, described pre-coding matrix P is a sparse matrix.

A kind of multi-antenna and multi-speed launching technique of optimizing throughput may further comprise the steps:

1) modulation produces group code modulation back symbol sebolic addressing s;

Throughput of system when 2) the calculation code system adopts the sending metrix of alternative various speed correspondences under a certain method of reseptance;

3) choose the pre-coding matrix P that the corresponding sending metrix of throughput maximum wherein adopts as system;

4) calculate transmission sign matrix v, wherein sending metrix V multiply by output symbol sequence S for pre-coding matrix P.

Wherein, the computational methods of throughput of system specifically may further comprise the steps described step 2):

(1) calculates the different judgement signal to noise ratios of symbol under the least mean-square error receiver that send;

(2) these judgement signal to noise ratios are averaged;

(3) by searching the performance table under the system precoding matrix, obtain the throughput of system of this pre-coding matrix correspondence.

Wherein, judgement signal to noise ratio snr in the described step (1) _kComputational methods be: ${\mathrm{SNR}}_k=\frac{1}{{\left[{(I_L+\frac{{\mathrm{\γ}}_0}{N_t}{\tilde{H}}^H\tilde{H})}^{-1}\right]}_{k,k}}-1$ 。Wherein, I _LBe unit matrix, γ ₀Be signal noise ratio, N _tBe the transmitting antenna number,

Channel matrix for equivalence.

Wherein, the averaging method of judgement signal to noise ratio is in the described step (2): $\stackrel{\‾}{\mathrm{SNR}}=\frac{1}{L}\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{SNR}}_i.$

Wherein, in the described step (3), described performance table is the performance table of the turbo sign indicating number of the different interleaver sizes of correspondence.

Wherein, judgement signal to noise ratio snr in the described step (1) _kConcrete computational methods may further comprise the steps:

Definition X Ps has Y=HX+n, and the length of X is Nt * N, uses the MMSE criterion, obtains:

$X=\mathrm{inv}(\frac{{{\mathrm{\σ}}_0}^2}{{{\mathrm{\σ}}_x}^2}I+{\stackrel{\‾}{H}}^H\stackrel{\‾}{H})\stackrel{\‾}{H}Y,$

By linear transformation, obtain:

S＝P ^HX，

The judgement signal to noise ratio that further obtains k element among the X is:

$\mathrm{SNR}\left(X_k\right)=\frac{1}{{\left[{(I_L+\frac{{{\mathrm{\σ}}_{x_k}}^2}{N_t{{\mathrm{\σ}}_0}^2}{\stackrel{\‾}{H}}^H\stackrel{\‾}{H})}^{-1}\right]}_{k,k}}-1,$

Note SNR (X)=[SNR (X ₁) ... SNR (X _{Nt * N})] ^T, subscript wherein ^TTable is the transposition of vector, can get k error sign ratio that sends symbol to be:

SNR _k＝[P ^H×SNR(X)] _k。

Wherein, the method for reseptance described step 2) is the least mean-square error method.

Wherein, the pre-coding matrix P in the described step 3) is a sparse matrix.

The present invention is directed to many antenna transmission of closed loop that adopt chnnel coding and the sending/receiving system that adopts linear receiver, this patent proposes a kind of many speed space-time/space-frequency transmitter architecture and corresponding mode switching method of optimization system throughput.This transmitter is handled when transmitting terminal empty and is represented with unified sending metrix, makes receiving terminal to detect and to receive with unified belief propagation detector, effectively reduces the receiver complexity of many speed mimo system.When choosing sending mode, relatively adopt the throughput of system of the coded system of the various send modes that unified belief propagation detector receives by the mode switch processor, choose maximum wherein,, effectively raise throughput of system as delivery plan.Simultaneously, by the method for two kinds of approximate computing system throughputs, can effectively raise the efficient of mode switch processor so that the computation complexity of computing system throughput reduces greatly.

Description of drawings

Fig. 1 is existing multiple antenna transmitter structural representation;

Fig. 2 optimizes many rate transmitters structural representation of throughput for the embodiment of the invention;

Fig. 3 shines upon schematic diagram for the embodiment of the invention by the space-time symbol that formula (4)-(7) obtain;

Fig. 4 is the embodiment of the invention and other many speed multiaerial system throughput performance comparison diagram that detects based on belief propagation.

Embodiment

Fig. 1 is existing multiple antenna transmitter structural representation; Main improvements of the present invention are the space-time/space-frequency processor part that frame of broken lines represents and have increased the mode switch processor, as shown in Figure 2.Therefore the multi-antenna and multi-speed transmitter of the optimization throughput in the embodiment of the invention comprises: information source module, the channel encoder module, the bit interleaver module, modulator block, mode switch processor and space-time/space-frequency processor, described modulator block output symbol sequence S, throughput of system when the calculation code system that is used for described mode switch processor adopts the sending metrix of alternative various speed correspondences under the receiver of a certain method of reseptance correspondence, and choose the pre-coding matrix P that the corresponding sending metrix of maximum wherein adopts as system, described space-time/space-frequency processor is used for calculating transmission sign matrix V, wherein v=Ps ^TWherein, s={s ₁s ₂S _L, subscript T represents transposition, L is the columns of matrix P.

Wherein, described pre-coding matrix P is a sparse matrix.

The emission implementation of single-rate is suc as formula (1):

v _(Nt·N)×1＝P _(Nt·N)×L·(s ^T) _L×1。(1)

Wherein, Nt is a number of transmit antennas, and N is line transmission every day symbol numbers, and vector v is by v ₁, v ₂..., v _NtConstitute, suc as formula (2):

$v_{(\mathrm{Nt}\×N)\×1}={[v_1^{\left(1\right)}{v}_1^{\left(2\right)}\·\·\·v_1^{\left(\mathrm{Nt}\right)}{v}_2^{\left(1\right)}\·\·\·v_N^{\left(\mathrm{Nt}\right)}]}^T,---\left(2\right)$

Be vector v the (corresponding j the antenna of the individual element of Nt (i-1)+j) be at the transmission symbol in i the moment, wherein, i ∈ [1, N], j ∈ [1, Nt].Matrix P form is suc as formula (3):

Blank space element in the formula (3) is 0, (Nt (i-1)+j, the element 1 expression symbol s that m) locates _mIn i emission constantly of j antenna, that is, $v_i^{\left(j\right)}=s_m$ , wherein, i ∈ [1, N], j ∈ [1, Nt], m ∈ [1, L].

The different of nonzero element value and position obtain different space-time symbol mapping methods among the matrix P, thus corresponding different many antennas emitting structurals.Simultaneously, fixing line every day is sent symbol numbers N and number of transmit antennas Nt, the value difference of matrix P columns L obtains different transmission rates when empty.Transmission rate chooses during for sky, in many rate transmitters, use the mode switch processor to finish, by calculating the power system capacity of various sending modes under unified belief propagation detector, relatively draw its maximum, thereby transmission rate and pre-coding matrix P when determining its sky, as Fig. 2, set of matrices { P ₁P ₂P _KCorresponding emission rate set { R ₁R ₂R _K(0＜R ₁＜R ₂＜...＜R _K).

A kind of multi-antenna and multi-speed launching technique of optimizing throughput,

Suppose that the reception antenna number is Nr, and channel matrix remains unchanged in a N continuous symbol period, is labeled as H, can obtain following channel matrix:

Wherein, y _iRepresent the signal vector that receives in i the symbol period, dimension is Nr * 1, n be dimension (Gaussian noise vector of Nr * N) * 1, its each element is that average is 0, variance is σ ²Gaussian noise.Wherein, $\stackrel{\‾}{H}=\left[\begin{array}{cccccc}H& & & & & \\ & H& & & & \\ & & \·& & & \\ & & & \·& & \\ & & & & \·& \\ & & & & & H\end{array}\right],$ $\tilde{H}=\stackrel{\‾}{H}P.$

Because use the belief propagation detector, system can obtain the error sign ratio performance of least mean-square error (MMSE) receiver.So adopt system's error sign ratio of unified belief propagation detector, can represent with the error sign ratio of MMSE receiver.

Adopt the MMSE method to receive in the present embodiment, k judgement signal to noise ratio that sends symbol is expressed as:

${\mathrm{SNR}}_k=\frac{1}{{\left[{(I_L+\frac{{\mathrm{\γ}}_0}{N_t}{\tilde{H}}^H\tilde{H})}^{-1}\right]}_{k,k}}-1---\left(5\right)$

γ wherein ₀The signal noise ratio.Suppose that modulation system is the QAM modulation, exponent number is M _c(the 4-QAM exponent number is 2, and the 16-QAM exponent number is 4, and the like).I wherein _LBe unit matrix, γ ₀Be signal noise ratio, N _tBe the transmitting antenna number, Channel matrix for equivalence.

For the system that does not adopt chnnel coding, k error sign ratio that sends symbol can be expressed as:

${\mathrm{SER}}_k=N_{e}Q\left(\sqrt{{\mathrm{SNR}}_{\mathrm{<figure-callout\; id="2"\; label="k\; d\; min"\; filenames="A20061011753000132.png,A20061011753000133.png"\; state="\{\{state\}\}">k</figure-callout>}}\frac{d_{\min }^{}}{}\frac{{}_2^{}}{2}}\right)---\left(6\right)$

Wherein, N _eBe the average number of minimum range in the planisphere, d _MinBe minimum range in the planisphere.

The throughput of coded system can not be expressed as:

$\mathrm{Th}={\mathrm{LM}}_c\underset{i=1}{\overset{L}{\mathrm{\&Pi;}}}(1-{\mathrm{SER}}_i)---\left(7\right)$

For the system that adopts chnnel coding, frame error rate and judgement signal to noise ratio SNR ₁, SNR ₂... SNR _k... SNR _LRelevant, interleaver sizes N _I, encoder generator matrix G, and channel coding rate R _cRelevant, can be expressed as:

PER＝f(SNR ₁，SNR ₂，...SNR _k，...SNR _L，N _I，G，R _c) (8)

Because the analytic expression of (8) is difficult to obtain, we can adopt approximate way to ask for, and its frame error rate is:

$\mathrm{PER}\&ap;f(\stackrel{\&OverBar;}{\mathrm{SNR}},N_I,G,R_c)---\left(9\right)$

Wherein:

$\stackrel{\&OverBar;}{\mathrm{SNR}}=\frac{1}{L}\underset{i=1}{\overset{L}{\mathrm{\&Sigma;}}}{\mathrm{SNR}}_i---\left(10\right)$

In order to obtain the PER under the different channels coded system, we can be produced on the performance table of turbo sign indicating number under the different rates send mode (corresponding different interleaver sizes), by the mode of tabling look-up, find out its corresponding PER.

The throughput of coded system can be expressed as:

Th＝(LM _c×R _c-N _zero)(1-PER) (11)

Wherein, R _cBe channel coding rate, N _ZeroFor the turbo sign indicating number adds 0 bit number.

Comprehensively (4)-(11), when selecting different patterns for use, corresponding different P can calculate its throughput Th, by comparing the maximum of its Th, can obtain optimum transmission method.

Because in the formula (5),

Dimension be L * L, calculating its contrary complexity is O (L ³), the bigger system of blocks of data so, the algorithm complex that calculates its throughput is very big.As a kind of optimal way, can adopt following method for simplifying to calculate for the judgement signal to noise ratio:

I. define X Ps, Y=HX+n is arranged, the length of X is Nt * N, uses the MMSE criterion, can get:

$X=\mathrm{inv}(\frac{{{\mathrm{\&sigma;}}_0}^2}{{{\mathrm{\&sigma;}}_x}^2}I+{\stackrel{\&OverBar;}{H}}^H\stackrel{\&OverBar;}{H})\stackrel{\&OverBar;}{H}Y---\left(12\right)$

II. by linear transformation, can get:

S＝P ^HX (13)

Through type (12), the judgement signal to noise ratio that can get k element among the X is:

$\mathrm{SNR}\left(X_k\right)=\frac{1}{{\left[{(I_L+\frac{{{\mathrm{\&sigma;}}_{x_k}}^2}{N_t{{\mathrm{\&sigma;}}_0}^2}{\stackrel{\&OverBar;}{H}}^H\stackrel{\&OverBar;}{H})}^{-1}\right]}_{k,k}}-1---\left(14\right)$

Note SNR (X)=[SNR (X ₁) ... SNR (X _{Nt * N})] ^T, subscript wherein ^TTable is the transposition of vector.Can get k error sign ratio that sends symbol can be expressed as:

SNR _k＝[P ^H×SNR(X)] _k (15)

Because

Be block diagonal matrix, inverse of a matrix can be reduced to N

Minor matrix contrary.And remaining unchanged in N time of channel matrix, inverse of a matrix is simplified to

Minor matrix contrary, its algorithm complex is approximately O (L), has obtained reducing greatly.

Changing method of the present invention is equally applicable to the many speed/multimode transmission system based on other linear receivers.For example for the system that uses beam forming technique, alamouti to divide structure set and BLAST multiplexing structure to switch at transmitting terminal.

For further specifying the present invention and beneficial effect thereof, below the parameter of specific embodiment is carried out value.

The parameter value such as the table 1 of specific embodiment.

Parameter value in table 1 specific embodiment

4 kinds of transmission rate { R in the correspondence table 1 ₁R ₂R ₃R ₄, set of matrices { P ₁P ₂P _KIn the matrix of elements design form as follows:

${\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="A20061011753000131.png,A20061011753000132.png"\; state="\{\{state\}\}">P</figure-callout>}}_1={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="A20061011753000141.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;300}^1=\left\{p_{\mathrm{mn}}^1\right\},---\left(16\right)$

In the matrix coordinate be (m, n)=(4 * (i-1)+k, mod (i+k-2,300)+1), i ∈ [1,300], the element of k ∈ [1,4] $p_{\mathrm{mn}}^1=1.$

${\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="A20061011753000132.png,A20061011753000133.png"\; state="\{\{state\}\}">P</figure-callout>}}_2={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="A20061011753000141.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;600}^2=\left\{p_{\mathrm{mn}}^2\right\},---\left(17\right)$

In the matrix coordinate be (m, n)=(4 * (i-1)+k, mod (2i+k-3,600)+1), i ∈ [1,300], the element of k ∈ [1,4] $p_{\mathrm{mn}}^2=1.$

${\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="A20061011753000133.png"\; state="\{\{state\}\}">P</figure-callout>}}_3={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="A20061011753000141.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;900}^3=\left\{p_{\mathrm{mn}}^3\right\},---\left(18\right)$

During k=4-mod (i-1,4), row-coordinate m=4* (i-1)+k in the matrix, row coordinate n={mod (3*i-5+L-1, L)+1, mod (3*i-4+L-1, L)+1, mod (3*i-3+L-1, L)+element of 1} $p_{\mathrm{mn}}^3=1;$ When k ≠ 4-mod (i-1,4) and k ∈ [1,4], 3 row-coordinate m=4* (i-1)+k in the matrix, respectively corresponding 3 row coordinate n={3*i-2,3*i-1, the element of 3*i} $p_{\mathrm{mn}}^3=1/\sqrt{3}$ 。i∈[1，300]，L＝900。

${\mathrm{<figure-callout\; id="4"\; label="P"\; filenames="A20061011753000133.png"\; state="\{\{state\}\}">P</figure-callout>}}_4={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="A20061011753000141.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;1200}^4=\left\{p_{\mathrm{mn}}^4\right\},---\left(19\right)$

Matrix element $p_{\mathrm{mm}}^{}$ ${}_4^{}=1$ , m ∈ [1,1200], i.e. P ₄Be unit matrix.

For modulation back symbol sebolic addressing s={s ₁s ₂S _L, sign map concerns as shown in Figure 4 on the antenna of 4 matrix correspondences, the transmitting antenna of horizontal representation space is vertically represented delivery time among the figure, and numeral 1,2 ..., L represents to send symbol s ₁, s ₂..., s _LTransmitting terminal carries out the space-time symbol coding according to formula (1).

For 4 kinds of different transmission bit rates, determine its encoder length and interleaver sizes, by emulation, we have obtained under Gaussian channel the frame error rate performance of turbo sign indicating number (wherein the parameter of turbo encoder is as shown in table 2) under the different transmission mode, and are as shown in table 3.

The tabulation of table 2 turbo code parameters

Chnnel coding	3GPP Turbo, code check are 1/2
		Channel interleaver	Random interleaver
Modulation	QPSK
		Channel-decoding	Max-Log-Map, 8 iteration
The operation frame number	1000

The turbo sign indicating number frame error rate of table 3 different coding length

Signal to noise ratio (dB)	Transmission mode one PER	Transmission mode two PER	Transmission mode three PER	Transmission mode four PER
					-3	1	1	1	1
-2	1	1	1	1
					-1	1	1	1	1
0	0.956	0.988	0.998	1
					0.2	0.895	0.973	0.989	0.996
0.4	0.795	0.904	0.958	0.971
					0.6	0.646	0.75	0.819	0.847
0.8	0.512	0.53	0.553	0.617
					1	0.334	0.297	0.28	0.271
1.2	0.206	0.109	0.1	0.101
					1.4	0.108	0.034	0.02	0.013
1.6	0.01	0.015	0.002	0.003
					1.8	0.004	0	0.001	0
2	0	0	0	0
					3	0	0	0	0

Fig. 5 provides the throughput simulation curve that adopts above-mentioned 4 kinds of speed and Adaptable System thereof respectively.Except listed parameter in the table 1, used other parameters of system emulation are as shown in table 2.Simulation result shows that four kinds of matrixes of design obtain transmission means (M1, M2, M3, the M4 that four kinds of speed increase successively; Corresponding code rate is respectively 1,2,3,4); The optimum energy of the property that self adaptation curve throughput performance is better than or the various speed of convergence can reach shows that the multi-rate modes that design obtains can well be applied to Adaptable System.

Claims (10)

1. multi-antenna and multi-speed transmitter of optimizing throughput, comprise information source module, the channel encoder module, the bit interleaver module, modulator block, described modulator block output symbol sequence S, it is characterized in that: also comprise mode switch processor and space-time/space-frequency processor, throughput of system when the calculation code system that is used for described mode switch processor adopts the sending metrix of alternative various speed correspondences under the receiver of a certain method of reseptance correspondence, and choose the pre-coding matrix P that the corresponding sending metrix of maximum wherein adopts as system, described space-time/space-frequency processor is used for calculating transmission sign matrix v, and wherein sending metrix V multiply by output symbol sequence S for pre-coding matrix P.

2. the multi-antenna and multi-speed transmitter of optimization throughput according to claim 1 is characterized in that: described pre-coding matrix P is a sparse matrix.

3. multi-antenna and multi-speed launching technique of optimizing throughput is characterized in that may further comprise the steps:

1) modulation produces group code modulation back symbol sebolic addressing s;

Throughput of system when 2) the calculation code system adopts the sending metrix of alternative various speed correspondences under a certain method of reseptance;

3) choose the pre-coding matrix P that the corresponding sending metrix of throughput maximum wherein adopts as system;

4) calculate transmission sign matrix v, wherein sending metrix V multiply by output symbol sequence S for pre-coding matrix P.

4. the multi-antenna and multi-speed launching technique of optimization throughput according to claim 3 is characterized in that: the computational methods of throughput of system specifically may further comprise the steps described step 2):

(1) calculates the different judgement signal to noise ratios of symbol under the least mean-square error receiver that send;

(2) these judgement signal to noise ratios are averaged;

(3) by searching the performance table under the system precoding matrix, obtain the throughput of system of this pre-coding matrix correspondence.

5. the multi-antenna and multi-speed launching technique of optimization throughput according to claim 4 is characterized in that: judgement signal to noise ratio snr in the described step (1) _kComputational methods be: ${\mathrm{SNR}}_k=\frac{1}{{\left[{(I_L+\frac{{\mathrm{\&gamma;}}_0}{N_t}{\tilde{H}}^H\tilde{H})}^{-1}\right]}_{k,k}}-1$ 。Wherein, I _LBe unit matrix, γ ₀Be signal noise ratio, N _tBe the transmitting antenna number, Channel matrix for equivalence.

6. the multi-antenna and multi-speed launching technique of optimization throughput according to claim 5 is characterized in that: the averaging method of judgement signal to noise ratio is in the described step (2): $\stackrel{\&OverBar;}{\mathrm{SNR}}=\frac{1}{L}\underset{i=1}{\overset{L}{\mathrm{\&Sigma;}}}{\mathrm{SNR}}_i.$

7. the multi-antenna and multi-speed launching technique of optimization throughput according to claim 6 is characterized in that: in the described step (3), described performance table is the performance table of the turbo sign indicating number of the different interleaver sizes of correspondence.

8. the multi-antenna and multi-speed launching technique of optimization throughput according to claim 5 is characterized in that: judgement signal to noise ratio snr in the described step (1) _kConcrete computational methods may further comprise the steps:

Definition X Ps has $Y=\stackrel{\&OverBar;}{H}X+n$ , the length of X is Nt * N, uses the MMSE criterion, obtains:

$X=\mathrm{inv}(\frac{{{\mathrm{\&sigma;}}_0}^2}{{{\mathrm{\&sigma;}}_x}^2}I+{\stackrel{\&OverBar;}{H}}^H\stackrel{\&OverBar;}{H})\stackrel{\&OverBar;}{H}Y,$

By linear transformation, obtain:

S＝P ^HX，

The judgement signal to noise ratio that further obtains k element among the X is:

$\mathrm{SNR}\left(X_k\right)=\frac{1}{{\left[{(I_L+\frac{{{\mathrm{\&sigma;}}_{x_k}}^2}{N_t{{\mathrm{\&sigma;}}_0}^2}{\stackrel{\&OverBar;}{H}}^H\stackrel{\&OverBar;}{H})}^{-1}\right]}_{k,k}}-1,$

Note SNR (X)=[SNR (X ₁) ... SNR (X _{Nt * N})] ^T, subscript wherein ^TTable is the transposition of vector, can get k error sign ratio that sends symbol to be:

SNR _k＝[P ^H×SNR(X)] _k。

9. according to the multi-antenna and multi-speed launching technique of the described optimization throughput of claim 3 to 8, it is characterized in that: the method for reseptance described step 2) is the least mean-square error method.

10. according to the multi-antenna and multi-speed launching technique of the described optimization throughput of claim 3 to 8, it is characterized in that: the pre-coding matrix P in the described step 3) is a sparse matrix.

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