CN101170337B - 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 the more and more mobile user provides high data rate and multimedia service urgent day by day, and 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 at present.

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 based on the different received mode, 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 types of 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 the different received machine technology, its throughput of system is different.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 present invention provides a kind of multi-antenna and multi-speed transmitter and launching technique thereof of optimizing throughput, to the unified tactic pattern of sending of unified belief propagation detector design, is mainly used in the adaptive MIMO systems.

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, channel encoder module, bit interleaver module, modulator block; Said modulator block output symbol sequence S; It is characterized in that: also comprise mode switch processor and space-time/space-frequency processor; Said mode switch processor is used for the throughput of system of calculation code system when the corresponding receiver of a certain method of reseptance adopts the sending metrix of alternative various speed correspondences down; And choose the pre-coding matrix P that the corresponding sending metrix of maximum wherein adopts as system, and said space-time/space-frequency processor is used for calculating and sends sign matrix v, and wherein sending metrix V multiply by output symbol sequence S for pre-coding matrix P.

Wherein, said 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 corresponding sending metrix of alternative various speed 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 said step 2):

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

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

(3), obtain the corresponding throughput of system of this pre-coding matrix through searching the performance table under the system precoding matrix.Wherein, judgement signal to noise ratio snr in the said 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 said step (2): $\stackrel{\‾}{\mathrm{SNR}}=\frac{1}{L}\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{SNR}}_i.$

Wherein, in the said 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 said 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:

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

Through 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, wherein subscript T table 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 said step 2) is the least mean-square error method.

Wherein, the pre-coding matrix P in the said 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; Come relatively to adopt the throughput of system of the coded system of the various send modes that unified belief propagation detector receives through the mode switch processor; Choose maximum wherein,, effectively raise throughput of system as delivery plan.Simultaneously, through 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 sketch map 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 is represented and have increased the mode switch processor, and are 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, channel encoder module, bit interleaver module, modulator block, mode switch processor and space-time/space-frequency processor; Said modulator block output symbol sequence S; Said mode switch processor is used for the throughput of system of calculation code system when the corresponding receiver of a certain method of reseptance adopts the sending metrix of alternative various speed correspondences down; And choose the pre-coding matrix P that the corresponding sending metrix of maximum wherein adopts as system; Said space-time/space-frequency processor is used for calculating transmission sign matrix V, wherein v=Ps ^TWherein, s={s ₁s ₂S _L, subscript T representes transposition, L is the columns of matrix P.

Wherein, said 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×l。(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 accomplish; Through calculating the power system capacity of various sending modes under unified belief propagation detector, relatively draw its maximum, thus transmission rate and pre-coding matrix P when confirming its sky; Like 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,

$\tilde{H}=\stackrel{\‾}{H}P.$

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 of sending symbol is expressed as as follows:

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

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:

${\mathrm{SER}}_k=N_{e}Q\left(\sqrt{{\mathrm{SNR}}_{\mathrm{<figure-callout\; id="2"\; label="k\; d\; min"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">k</figure-callout>}}\frac{d_{\min }^{}}{}\frac{{}_2^{}}{2}}\right)---\left(6\right)$

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, FER 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 FER is:

PER≈f(SNR，N _I，G，R _c) (9)

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), through 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, through 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. through 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, wherein subscript T table 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

is block diagonal matrix, inverse of a matrix can be reduced to the contrary of N minor matrix.And in N time, remaining unchanged of channel matrix; Inverse of a matrix is simplified to the contrary of

minor matrix; 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 following:

${\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H061B7530X20061113E000011.png,H061B7530X20061113E000013.png"\; state="\{\{state\}\}">P</figure-callout>}}_1={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="H061B7530X20061113E000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;300}^1=\left\{p_{\mathrm{mn}}^1\right\},---\left(16\right)$

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] ${\mathrm{<figure-callout\; id="1"\; label="p\; Mn"\; filenames="H061B7530X20061113E000011.png,H061B7530X20061113E000013.png"\; state="\{\{state\}\}">p</figure-callout>}}_{\mathrm{Mn}}^{}=1.$

${\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">P</figure-callout>}}_2={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="H061B7530X20061113E000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;600}^2=\left\{p_{\mathrm{mn}}^2\right\},---\left(17\right)$

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] ${\mathrm{<figure-callout\; id="2"\; label="p\; Mn"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">p</figure-callout>}}_{\mathrm{Mn}}^{}=1.$

${\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">P</figure-callout>}}_3={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="H061B7530X20061113E000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;900}^3=\left\{p_{\mathrm{mn}}^3\right\},---\left(18\right)$

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} ${\mathrm{<figure-callout\; id="3"\; label="p\; Mn"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">p</figure-callout>}}_{\mathrm{Mn}}^{}=1;$ 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} ${\mathrm{<figure-callout\; id="3"\; label="p\; Mn"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">p</figure-callout>}}_{\mathrm{Mn}}^{}=1/\sqrt{3}.$ I ∈ [1,300], L=900.

${\mathrm{<figure-callout\; id="4"\; label="P"\; filenames="H061B7530X20061113E000013.png"\; state="\{\{state\}\}">P</figure-callout>}}_4={\mathrm{<figure-callout\; id="1200"\; label="P"\; filenames="H061B7530X20061113E000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{1200\&times;1200}^4=\left\{p_{\mathrm{mn}}^4\right\},---\left(19\right)$

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, the sign map relation is as shown in Figure 4 on 4 matrix corresponding antenna, and the transmitting antenna of horizontal representation space is vertically represented delivery time among the figure, and numeral 1,2 ..., L representes 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; Confirm its encoder length and interleaver sizes; Through emulation, we have obtained under Gaussian channel the FER 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 2turbo 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 FER 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 ability of the property that self adaptation curve throughput performance is superior to 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 (7)

1. multi-antenna and multi-speed transmitter of optimizing throughput; Comprise information source module, channel encoder module, bit interleaver module, modulator block; Said modulator block output symbol sequence S; It is characterized in that: also comprise mode switch processor and space-time/space-frequency processor; Said mode switch processor is used for the throughput of system of calculation code system when the corresponding receiver of a certain method of reseptance adopts the sending metrix of alternative various speed correspondences down; And choose the pre-coding matrix P that the corresponding sending metrix of maximum wherein adopts as system, said space-time/space-frequency processor is used for calculating and sends sign matrix v, wherein sends sign matrix v and 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: said 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 corresponding sending metrix of alternative various speed 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 send sign matrix v and 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 said step 2):

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

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

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

5. the multi-antenna and multi-speed launching technique of optimization throughput according to claim 4 is characterized in that: in the said step (3), described performance table is the performance table of the turbo sign indicating number of the different interleaver sizes of correspondence.

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

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

Images