CN102082628A - Sorting Turbo enhancing method of MIMO (multiple input multiple output) wireless communication receiver - Google Patents

Abstract

The invention provides a sorting Turbo enhancing method of an MIMO (multiple input multiple output) wireless communication receiver. The method comprises the following steps: (1) caching a baseband signal r, acquiring the baseband signal r from a cache and carrying out linear equalization on the baseband signal r, judging the equalized baseband signal of each layer, and obtaining the estimated value of a transmitting symbol of each layer according to the judging result of each layer; (2) calculating the sorting index of the estimated values of the transmitting symbols of all the layers, and sorting the estimated values of the transmitting symbols of all the layers according to the calculated result; and (3) sequentially carrying out Turbo enhancement on the estimated values of the transmitting symbols of all the layers according to the sort order. In the invention, only slight complexity is increased, and the advantages of simple structure and easiness for realization of the original decorrelation receiver are almost maintained; and meanwhile, the performance of the decorrelation receiver is obviously improved, and the performance of the MIMO wireless communication receiver can be obviously improved while the complexity and the calculated quantity are slightly increased.

Description

A kind of tape sort Turbo Enhancement Method of mimo wireless communication receiver

Technical field

The present invention relates to a kind of multi-antenna wireless communication transmission method, belong to wireless communication technology field.

Background technology

Along with development of internet technology, people also improve constantly the requirement of access network, enter the Internet at a high speed whenever and wherever possible and become increasing people's important need, wireless communication technology is to satisfy the main support technology of people's the demand, and therefore broadband wireless communication technique has obtained fast development in recent years.Spectrum efficiency is the research emphasis of wireless communication technology always, adopt multiple-input and multiple-output (Multiple-Input Multiple-Output is hereinafter to be referred as the MIMO) technology of multi-antenna technology to be beyond one's reach spectrum efficiency and to be subjected to extensive concern based on transmitting-receiving two-end in recent years with its conventional single-antenna technology.MIMO and based on Cyclic Prefix (Cyclic Prefix, CP) OFDM of technology (Orthogonal Frequency Division Multiplexing, OFDM) and single carrier frequency domain equalization (Single Carrier with Frequency Domain Equalization, SC-FDE) the technology main support technology that becomes the future wireless physical layer transmission in conjunction with the MIMO-OFDM that occurs and MIMO-SCFDE.

MIMO utilizes in the wireless propagation environment of rich multipath the uncorrelated characteristic of channel gain between the different antennae, obtains the high channel capacity, thereby improves the availability of frequency spectrum and the reliability of whole system.

Fig. 1 has provided a N _T* N _RArrowband mimo wireless communication system schematic diagram, N here _T≤ N _R, be a space division multiplex wireless communication system, wherein the effect of each module is as follows:

MIMO transmitting terminal processing module 1: produce and want the information transmitted bit, carry out sign map, radio frequency, intermediate frequency Modulation and Base-Band Processing.Sign map is that the information bit that information source produces is mapped on the planisphere corresponding points according to the sign map mode that is adopted.Radio frequency, intermediate frequency Modulation and Base-Band Processing are to modulate the signal to carry out the intermediate frequency amplification on the intermediate frequency, do rf modulations again, at last modulated signal are launched by antenna.

Radio frequency, intermediate frequency demodulation and baseband processing module 2: the frequency spectrum of reception antenna received signal is moved low frequency from radio frequency or intermediate frequency.Before demodulation, need the frequency deviation that causes with in the Frequency Synchronization data correction signal transmission course.

Linear equalization module 3: carry out equilibrium with balanced matrix.Balanced way can be selected one of following two kinds of balanced ways: zero forcing equalization, least mean-square error equilibrium.

Judgement output module 4:, finish the judgement and the output of signal according to the judgement mode that system adopted.

N among Fig. 1 _TThe expression number of transmit antennas, N _RRepresent the reception antenna number, the base band signal process process of mimo system only is discussed here.Making a start, One dimension primary signal after the expression sign map, () ^TThe transposition of representing matrix or vector, QAM that typical sign map mode is various system numbers and PSK modulation, this N _TIndividual modulation symbol is respectively by N _TTransmit antennas sends, and the symbol that the i transmit antennas sends is s _i, i=1,2 ..., N _TIn the MIMO communication system, claim that traditionally the signal of transmit antennas emission is one deck, the transmitting of the corresponding different layers of different transmit antennas, the signal that the i transmit antennas sends is called the i layer.If H is the channel matrix of mimo system, be expressed as

$H=\left[\begin{array}{cccc}{h}_{11}& {\mathrm{<figure-callout\; id="12"\; label="h"\; filenames="HSA00000355333800021.png,HSA00000355333800022.png"\; state="\{\{state\}\}">h</figure-callout>}}_{12}& \&CenterDot;\&CenterDot;\&CenterDot;& h_{1N_T}\\ h_{21}& h_{22}& \&CenterDot;\&CenterDot;\&CenterDot;& h_{2N_T}\\ \&CenterDot;\&CenterDot;\&CenterDot;& \&CenterDot;\&CenterDot;\&CenterDot;& \&CenterDot;\&CenterDot;\&CenterDot;& \&CenterDot;\&CenterDot;\&CenterDot;\\ h_{N_{R}1}& h_{N_{R}2}& \&CenterDot;\&CenterDot;\&CenterDot;& h_{N_R{N}_T}\end{array}\right]$

Wherein, H ⁱI row vector of representing matrix, H _iI column vector of representing matrix.

S emission signal s is crossed mimo channel, after treatment N _RThe equivalent baseband signal that the root reception antenna receives is

r＝Hs+w

Wherein

r _lRepresent the signal that l root reception antenna receives, l=1,2 ..., N _R,

Be the receiving terminal noise vector,

Be noise variance.R is N _R* 1 dimension matrix, w is N _R* 1 dimension matrix.

Adopt the MIMO receiver of linear equalization mode to be called decorrelation or decorrelation receiver (Decorrelator) again, this receiver removes to multiply by the vectorial r of receiving baseband signal with a balanced matrix D and finishes decorrelation or equilibrium to receiving baseband signal:

r _e＝Dr＝DHs+Dw

The baseband signal of the different layers that obtains after the equilibrium can directly be adjudicated, obtain the information bit of corresponding each layer, the information bit after the judgement is carried out sign map again by transmitting terminal sign map mode, obtain the estimated value of each equivalent layer emission symbol, when not adjudicating error code

Linear equalization mode commonly used has two kinds, be ZF (Zero Forcing, ZF) balanced and least mean-square error (Minimum Mean Square Error, MMSE) equilibrium, the balanced matrix difference of these two kinds of balanced ways, wherein the balanced matrix of ZF equilibrium is generalized inverse (being that M-P the is contrary) H of channel matrix H ⁺

D _ZF＝H ⁺

The balanced matrix of MMSE equilibrium is

$D_{\mathrm{MMSE}}={(H^{H}H+\frac{{\mathrm{\&sigma;}}_w^2}{E_s}{I}_{N_T})}^{-1}{H}^H$

Wherein,

Be noise variance,

E _sThe average transmit power of representing each emission symbol, () ^HThe expression conjugate transpose.

Adopt the MIMO decorrelation receiver easy realization simple in structure of above-mentioned linear equalization mode, but its performance is often relatively poor.The decorrelation receiver performance that adopts the MMSE balanced way is generally than adopting the better of ZF equilibrium, but also often can not practical requirement, often will be in conjunction with the very strong error-correcting code system of error correcting capability, and just can practical application.However, because its simplicity, the descending MIMO-OFDM system of 3GPP LTE (Long Term Evolution) generally still adopts linear equalization (generally being the MMSE equilibrium) mode to carry out the processing of receiving terminal, and this can save the manufacturing cost of receiver greatly.

Disturb inhibition (Successive Inference Cancelation based on order, SIC) receiver, owing to adopted good interference mitigation technology, make that the interference between different layers alleviates greatly, performance is general remarkable only to be better than decorrelation receiver based on linear equalization.Typical case's representative based on the MIMO receiver of SIC is BLAST (the Bell Laboratories Layered Space-Time Architecture) receiver that Bell laboratory G Foschini proposes, though it is high that its V-BLAST is subjected to extensively chasing after of academia, but because complexity is too high and to the sensitiveness of channel measurement error, still extensively do not received by industrial quarters so far.

Though the decorrelation receiver based on linear equalization is simple in structure, accepted extensively poor-performing by industrial quarters.

Summary of the invention

The present invention is directed to the problem of the poor-performing of existing linear equalization receiver existence, a kind of advantage that can keep decorrelation receiver easy realization simple in structure is provided, can makes the tape sort Turbo Enhancement Method of the mimo wireless communication receiver that its performance is significantly improved again.Must be pointed out that the Turbo code in Turbo Enhancement Method of the present invention and the error correcting code does not have direct relation, the present invention does not rely on any error correcting code.

The tape sort Turbo Enhancement Method of mimo wireless communication receiver of the present invention may further comprise the steps:

(1) the baseband signal r that receives of buffer memory mimo wireless communication receiver, from buffer memory, take out baseband signal r and it is carried out linear equalization, each layer baseband signal after the equilibrium adjudicated, and further obtain the estimated value of each layer emission symbol by each layer court verdict

N _TThe number of transmit antennas of expression mimo wireless communication system;

(2) calculate the ordering index of the estimated value of each layer emission symbol, and sort according to the estimated value of result of calculation to each layer emission symbol;

(3) ranking results of the estimated value of each layer emission symbol that obtains according to step (2) carries out Turbo to the estimated value of each layer emission symbol successively by sort order and strengthens; The estimated value of each layer emission symbol all once strengthened to be called take turns Turbo and strengthen,, carry out taking turns Turbo at least and strengthen according to requirement to mimo wireless communication receiver performance and complexity aspect.

The specific implementation method of above steps is as follows:

In the step (1), the baseband signal r of buffer memory is carried out linear equalization can adopt ZF equilibrium or MMSE equilibrium; Each layer baseband signal after the equilibrium adjudicated, obtain the discriminative information bit of each layer, the method that the baseband signal after the equilibrium is adjudicated is identical with the method for common mimo wireless communication receiver; Obtain each layer emission sign estimation value by each layer discriminative information bit

Method be: the information bit that judgement obtains according to each layer, adopt the sign map mode identical to carry out sign map with transmitting terminal, obtain launching the estimated value of symbol

In the step (2), the method for ordering index of estimated value of calculating each layer emission symbol is as follows:

When adopting ZF balanced, the ordering index of exporting the estimated value of each layer emission symbol is the balanced back signal to noise ratio of each layer

Wherein, the ordering index of i layer is SNR _i=1/| (H ⁺) ⁱ| ², i=1,2 ..., N _T, () ⁱI row vector of representing matrix;

When adopting MMSE balanced, the ordering index of exporting the estimated value of each layer emission symbol is the balanced back signal interference noise power ratio of each layer

The perhaps balanced back noise suppressed coefficient of each layer

When adopting equilibrium back SINR, the ordering index of i layer is

I=1,2 ..., N _T, () _iI column vector of representing matrix; When adopting equilibrium back NS, the ordering index of i layer is

Diag wherein _iI the diagonal element of () representing matrix ().If order

D=GH then ^H, NS _i=(diag _i(G)) ^-1, will calculate D _MMSEThe time G that uses the result store, be used to calculate balanced back noise suppressed coefficient NS, to reduce the amount of calculation and the complexity of system.

In the step (2), as follows to the method that the estimated value of each layer emission symbol sorts according to result of calculation:

Select balanced back signal to noise ratio snr or balanced back signal interference noise power than SINR or balanced back noise suppressed coefficient NS ordering index, each component of the ordering index selected is carried out ascending ordering, obtain N as the estimated value of each layer emission symbol _TThe dimension ordering vector Wherein, k _i∈ 1,2 ..., N _T, i=1,2 ..., N _T, satisfy respectively for SNR, SINR and NS

Perhaps

With ${\mathrm{<figure-callout\; id="1"\; label="NS\; k"\; filenames="HSA00000355333800011.png,HSA00000355333800021.png"\; state="\{\{state\}\}">NS</figure-callout>}}_{k_{}}\&le;{\mathrm{<figure-callout\; id="2"\; label="NS\; k"\; filenames="HSA00000355333800011.png,HSA00000355333800012.png"\; state="\{\{state\}\}">NS</figure-callout>}}_{k_{}}\&le;\&CenterDot;\&CenterDot;\&CenterDot;\&le;{\mathrm{NS}}_{k_{N_T}}.$

Said method is the ascending ordering of estimated value to each layer emission symbol.To the estimated value of each layer emission symbol also can be descending ordering, its method is opposite with above-mentioned ascending sort method.

In the step (3), it is as follows successively the estimated value of each layer emission symbol to be carried out taking turns the concrete grammar that Turbo strengthens by sort order:

The emission sign estimation value that obtains according to step (1)

And the ordering vector that obtains of step (2)

From The middle k that takes out ₁The estimated value of other each layer emission symbols beyond the layer, the k that reconstruct MIMO receiver receives ₁Other each layers beyond the layer transmit; The concrete grammar of reconstruct is,

I ∈ 1,2 ..., N _TIt is the reconstruction signal that the i layer that the MIMO receiver receives is transmitted;

I ∈ 1,2 ..., N _T; N=1,2 ..., N _TBe the N except that the i layer that the MIMO receiver is received _T-1 layer of reconstruction signal that transmits; Take out the baseband signal r that receives of buffer memory again, from baseband signal r, deduct k ₁All N beyond the layer _TReceiving baseband signal after-1 layer of reconstruct and, promptly

N=1 ... N _T, with the baseband signal z premultiplication that obtains

Obtain

Then this layer baseband signal Z is adjudicated again, obtain k ₁The new judgement symbol of layer baseband signal is used k ₁The new judgement symbol of layer upgrades former k ₁Layer judgement symbol is again with k ₁The new judgement symbol of layer carries out sign map by the sign map mode of transmitting terminal, upgrades In

Handle k with identical method ₂Layer baseband signal, until

Layer baseband signal, each reconstruct receiver receive when anterior layer other each layers in addition transmit, with latest update

Be reconstructed.

Said method is successively the estimated value of each layer emission symbol to be carried out taking turns Turbo by ascending sort order to strengthen.Turbo Enhancement Method when adopting ZF equilibrium and MMSE balanced is identical.

One of the estimated value of the symbol of each layer of specific implementation emission is according to the following steps taken turns Turbo and is strengthened:

①.for?

②. $z=r-\underset{n\&NotEqual;i}{\overset{N_T}{\mathrm{\&Sigma;}}}{\hat{s}}_n{H}_n,n=1,\&CenterDot;\&CenterDot;\&CenterDot;N_T$

③.Z＝(H _i) ⁺z

④.c _i＝D(Z)

⑤. ${\hat{s}}_i=Q\left(c_i\right)$

⑥.End

Wherein, Q () represents sign map, and D () represents judgement, () _iI the column vector of representing matrix or i the vectorial component of going, () ⁱI capable vector of representing matrix or i component of column vector; The 4. middle c of step is N _T* 1 dimension judgement output matrix, c _iI component for c; Step is in 5.

Value is upgraded, and the Turbo that is used for the first round other layer of back strengthens.

In the step (3), it is as follows by sort order the estimated value of each layer emission symbol to be carried out the concrete grammar that many wheel Turbo strengthen:

The wheel that maximum Turbo enhancing is set is counted T, 2≤T≤N _T+ 2 * log ₂(M), N here _TBe number of transmit antennas, M is-symbol mapping system number (being also referred to as modulation system number); One takes turns after Turbo strengthens, whether the result was identical with Turbo enhancing back result before relatively Turbo strengthened, if it is inequality, carrying out next round Turbo strengthens, strengthen result and current Turbo until previous round Turbo and strengthen to come to the same thing or arrive the maximum that Turbo strengthens wheel number T is set, take turns Turbo more and strengthen end.Said method is successively the estimated value of each layer emission symbol to be carried out many wheel Turbo by ascending sort order to strengthen.

The present invention is further processed the signal of linear equalizer output, only increase complexity seldom, substantially the advantage that has kept the easy realization simple in structure of original decorrelation receiver can make the performance of this decorrelation receiver be significantly improved simultaneously.Do not have under the situation of very big increase in complexity and amount of calculation, can obviously improve the performance of mimo wireless communication receiver.

Description of drawings

Fig. 1 is the fundamental block diagram of mimo wireless communication system.

Fig. 2 is a block diagram of realizing the tape sort Turbo Enhancement Method of mimo wireless communication receiver of the present invention.

Fig. 3 is the errored bit curve chart of the tape sort Turbo Enhancement Method of mimo wireless communication receiver of the present invention when adopting ZF balanced.

Fig. 4 is the errored bit curve chart of the tape sort Turbo Enhancement Method of mimo wireless communication receiver of the present invention when adopting MMSE balanced.

Among the figure: 1, MIMO transmitting terminal processing module, 2, radio frequency, intermediate frequency demodulation and baseband processing module, 3, the linear equalization module, 4, the judgement output module, 5, Turbo strengthens module, 6, output module.

Embodiment

What embodiment provided is to adopt MMSE mimo wireless communication receiver balanced and the ZF equilibrium to utilize the simulation result of Turbo Enhancement Method of the present invention, adopts accidental channel.

Fig. 2 has provided the block diagram of the tape sort Turbo Enhancement Method that realizes mimo wireless communication receiver of the present invention, and the receiver that The present invention be directed to SDM system shown in Figure 1 improves, the N that provides at Fig. 1 _T* N _RThe basis of arrowband mimo wireless communication system on increased Turbo and strengthened module 5 and output module 6, the effect of these two modules is as follows:

Turbo strengthens module 5: finish ordering described in the invention and Turbo Enhancement Method.

Output module 6: output baseband signal.

This embodiment simulation parameter:

Simulated environment: MATLAB R2010a

Channel matrix:

It is a sample of gaussian random channel matrix; Each element of gaussian random channel matrix all is independent identically distributed 0 average Gaussian complex random variable.

Number of transmit antennas: 4

Reception antenna number: 4

Modulation system: 4QAM

Error correcting code: do not adopt

The wheel number that maximum Turbo strengthens: T=4

The average received signal to noise ratio scope of emulation: SNR=4～20 (dB)

Do not consider in the emulation that to the influence of system, the error of promptly supposing all synchronization parameters all is 0 for channel estimation errors and synchronous error (comprising regularly synchronous error of carrier synchronization error, sampling rate synchronous error and frame); Do not consider the influence (for example device non-linear etc.) of other non-ideal factors.

Simulation result:

Fig. 3 and Fig. 4 are the simulation results that adopts the above-mentioned gaussian random channel matrix that provides to obtain.

Errored bit curve when the tape sort Turbo Enhancement Method that Fig. 3 has provided mimo wireless communication receiver of the present invention adopts ZF balanced, and can compare with the balanced errored bit of common ZF that does not carry out in the existing mimo system that Turbo strengthens.

Errored bit curve when the tape sort Turbo Enhancement Method that Fig. 4 has provided mimo wireless communication receiver of the present invention adopts MMSE balanced can compare with the errored bit that does not carry out the common MMSE equilibrium in the existing mimo system that Turbo strengthens.

By Fig. 3 and Fig. 4 as can be seen, the tape sort Turbo Enhancement Method of the mimo wireless communication receiver that proposes of the present invention is greatly improved than the performance of common mimo wireless communication receiver.When ZF is balanced, 10 ^-1To 10 ^-2Scope in, one of the mimo wireless communication receiver that the present invention proposes is taken turns the performance improvement about 4dB of Turbo Enhancement Method than basic mimo wireless communication receiver, takes turns the performance improvement about 5dB of Turbo Enhancement Method than common mimo wireless communication receiver more.When MMSE is balanced, 6 * 10 ^-2To 6 * 10 ^-3Scope in, one of the mimo wireless communication receiver that the present invention proposes take turns and many wheel Turbo Enhancement Method than the performance improvement about 2 to 5dB of basic mimo wireless communication receiver.

Claims (7)

1. the tape sort Turbo Enhancement Method of a mimo wireless communication receiver is characterized in that, may further comprise the steps:

(1) the baseband signal r that receives of buffer memory mimo wireless communication receiver, from buffer memory, take out baseband signal r and it is carried out linear equalization, each layer baseband signal after the equilibrium adjudicated, and further obtain the estimated value of each layer emission symbol by each layer court verdict

N _TThe number of transmit antennas of expression mimo wireless communication system;

(2) calculate the ordering index of the estimated value of each layer emission symbol, and sort according to the estimated value of result of calculation to each layer emission symbol;

(3) ranking results of the estimated value of each layer emission symbol that obtains according to step (2) carries out Turbo to the estimated value of each layer emission symbol successively by sort order and strengthens; The estimated value of each layer emission symbol all once strengthened to be called take turns Turbo and strengthen,, carry out taking turns Turbo at least and strengthen according to requirement to mimo wireless communication receiver performance and complexity aspect.

2. according to the tape sort Turbo Enhancement Method of the described mimo wireless communication receiver of claim 1, it is characterized in that: in the described step (1) each layer baseband signal after the equilibrium adjudicated, obtain the discriminative information bit of each layer; Obtain each layer emission sign estimation value by each layer discriminative information bit

Method be: the information bit that judgement obtains according to each layer, adopt the sign map mode identical to carry out sign map with transmitting terminal, obtain launching the estimated value of symbol

3. according to the tape sort Turbo Enhancement Method of the described mimo wireless communication receiver of claim 1, it is characterized in that: in the described step (2), the method for ordering index of estimated value of calculating each layer emission symbol is as follows:

When adopting ZF balanced, the ordering index of exporting the estimated value of each layer emission symbol is the balanced back signal to noise ratio of each layer

Wherein, the ordering index of i layer is SNR _i=1/| (H ⁺) ⁱ| ², i=1,2 ..., N _T, () ⁱI row vector of representing matrix;

When adopting MMSE balanced, the ordering index of exporting the estimated value of each layer emission symbol is the balanced back signal interference noise power ratio of each layer

The perhaps balanced back noise suppressed coefficient of each layer

When adopting equilibrium back SINR, the ordering index of i layer is

I=1,2 ..., N _T, () _iI column vector of representing matrix; When adopting equilibrium back NS, the ordering index of i layer is

Diag wherein _i() representing matrix () if the order of i diagonal element

D=GH then ^H, NS _i=(diag _i(G)) ^-1, will calculate D _MMSEThe time G that uses the result store, be used to calculate balanced back noise suppressed coefficient NS, to reduce the amount of calculation and the complexity of system.

4. according to the tape sort Turbo Enhancement Method of the described mimo wireless communication receiver of claim 1, it is characterized in that: in the described step (2), as follows to the method that the estimated value of each layer emission symbol sorts according to result of calculation:

Select balanced back signal to noise ratio snr or balanced back signal interference noise power than SINR or balanced back noise suppressed coefficient NS ordering index, each component of the ordering index selected is carried out ascending ordering, obtain N as the estimated value of each layer emission symbol _TThe dimension ordering vector

Wherein, k _i∈ 1,2 ..., N _T, i=1,2 ..., N _T, satisfy respectively for SNR, SINR and NS

Perhaps

With ${\mathrm{NS}}_{k_1}\&le;{\mathrm{NS}}_{k_2}\&le;\&CenterDot;\&CenterDot;\&CenterDot;\&le;{\mathrm{NS}}_{k_{N_T}}.$

5. according to the tape sort Turbo Enhancement Method of the described mimo wireless communication receiver of claim 1, it is characterized in that: in the described step (3), it is as follows successively the estimated value of each layer emission symbol to be carried out taking turns the concrete grammar that Turbo strengthens by sort order:

The emission sign estimation value that obtains according to step (1)

And the ordering vector that obtains of step (2)

From

The middle k that takes out ₁The estimated value of other each layer emission symbols beyond the layer, the k that reconstruct MIMO receiver receives ₁Other each layers beyond the layer transmit; The concrete grammar of reconstruct is, I ∈ 1,2 ..., N _TIt is the reconstruction signal that the i layer that the MIMO receiver receives is transmitted;

I ∈ 1,2 ..., N _T; N=1,2 ..., N _TBe the N except that the i layer that the MIMO receiver is received _T-1 layer of reconstruction signal that transmits; Take out the baseband signal r that receives of buffer memory again, from baseband signal r, deduct k ₁All N beyond the layer _TReceiving baseband signal after-1 layer of reconstruct and, promptly

N=1 ... N _T, with the baseband signal z premultiplication that obtains

Obtain

Then this layer baseband signal Z is adjudicated again, obtain k ₁The new judgement symbol of layer baseband signal is used k ₁The new judgement symbol of layer upgrades former k ₁Layer judgement symbol is again with k ₁The new judgement symbol of layer carries out sign map by the sign map mode of transmitting terminal, upgrades

In

Handle k with identical method ₂Layer baseband signal, until

Layer baseband signal, each reconstruct receiver receive when anterior layer other each layers in addition transmit, with latest update

Be reconstructed.

6. according to the tape sort Turbo Enhancement Method of the described mimo wireless communication receiver of claim 1, it is characterized in that: in the described step (3), it is as follows by sort order the estimated value of each layer emission symbol to be carried out the concrete grammar that many wheel Turbo strengthen:

The wheel that maximum Turbo enhancing is set is counted T, one takes turns after Turbo strengthens, whether the result was identical with Turbo enhancing back result before relatively Turbo strengthened, if it is inequality, carrying out next round Turbo strengthens, strengthen result and current Turbo until previous round Turbo and strengthen to come to the same thing or arrive the maximum that Turbo strengthens wheel number T is set, take turns Turbo more and strengthen end.Said method is successively the estimated value of each layer emission symbol to be carried out many wheel Turbo by ascending sort order to strengthen.

7. according to the Turbo Enhancement Method of the described mimo wireless communication receiver of claim 6, it is characterized in that: it is 2≤T≤N that the wheel that described maximum Turbo strengthens is counted T _T+ 2 * log ₂(M), N here _TThe number of transmit antennas of expression mimo wireless communication system, M is-symbol mapping system number.

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