CN101087283A - Receiving device and method for TD-SCDMA system - Google Patents

Abstract

The invention discloses a receiving device and method in TD-SCDMA syste, the invention gives out a data demodulating device and method when TD-SCDMA is in the same frequency net to realize effective receiving of area under interference of the same frequency, so requirement of TD-SCDMA can be fulfilled. It includes: data separator which separates data received training sequence part and data part; channel evaluator which evaluates channel swash response based on training sequence of area and training sequence separated by data separator; multi-area code-track activating evaluator which evaluates activating code-track; multi-area channel activating response processor which eliminates noise and evaluates power of noise; multi-area system matrix generator, multi-area matching filter, multi-area relative matrix generator, Cholesky decomposer and a matrix inversion machine; multi-area equation resolver.

Description

The receiving system and the method that are used for the TD-SCDMA system

Technical field

The invention belongs to wireless communication technology field, particularly 3-G (Generation Three mobile communication system) TD-SCDMA (TDS-CDMA system) realizes a kind of method of reseptance and the device that high-quality receives in the high speed data transfer business.

Background technology

Since 20th century the nineties, increasing to the demand of Radio Resource along with radio communication rise in the world, corresponding research is also arisen at the historic moment.We know that for Radio Resource, the use of frequency spectrum resource has strict division boundary, so the spectral bandwidth that can use for radio communication is not unlimited, and especially in broadband connections, the spread spectrum communication develop rapidly epoch.Current main flow air-interface standard is the spread spectrum communication based on CDMA.So, improve the availability of frequency spectrum and become one of basic demand of radio communication at the demand of communication and the characteristics of wireless standard.

In order to satisfy following two-forty, jumbo communication requirement, current main flow wireless standard is released the notion and the strategy of high spectrum utilization one after another, and has proposed corresponding concrete scheme.Identical networking is one of scheme, and using less frequency duplex factor as one in multiple sectors at same networking frequently is a typical scheme, promptly uses identical radio carrier frequency for the sub-district that is separated by nearer, and extreme, same frequency is used in all work sub-districts.

Identical networking has also brought co-channel interference when having improved the availability of frequency spectrum, demodulation has caused unprecedented difficulty and co-channel interference is to signal, in order to finish the signal demodulation under the identical networking, the present invention proposes a kind of joint-detection demodulating equipment and method of broad sense.

Joint-detection has obtained using widely as one of key technology of TD-SCDMA, its basic thought is all user profile in the associating work at present sub-district, non-desired user is eliminated as disturbing, desired user is eliminated MAI (multiple access interference) and ISI (intersymbol interference), obtain demodulation result preferably; When having co-channel interference, even joint-detection has been eliminated all interference in this sub-district, the influence of other co-frequency cells is still very big, seriously disturbs the demodulation result of this sub-district.Given this, the special thinking that proposes the joint-detection of many sub-districts of the present invention, at and address this problem.

Summary of the invention

The objective of the invention is to provide data demodulating device and the method for a kind of TD-SCDMA when identical networking, characteristics in conjunction with the TD-SCDMA system are improved single community associated detection algorithm, realizing the effective reception of multiple sectors at same under disturbing frequently, thereby satisfy the identical networking requirement of TD-SCDMA.

An aspect of of the present present invention is to provide the receiving system of a kind of TD-SCDMA of being used for system, is used to receive the same frequency mixed signal of many sub-districts, and it comprises: a data extractor, and the data separating that is used for receiving is training sequence part and data division; One channel estimator is used for partly carrying out the estimation of channel impulse response according to the training sequence and the data extractor training sequence separated of common frequency multi-cell; The code channel activating estimator of sub-district more than is used to estimate the activated code channel of a plurality of co-frequency cells; One multi-cell channel channel impulse response processor is used for that channel estimating is made denoising and handles, and estimating noise power; One multi-cell system matrix maker is used to generate the multi-cell system matrix; The matched filter of sub-district more than is finished the matched filtering of many sub-districts; The correlation matrix maker of sub-district more than is finished the matrix multiple computing; An one Cholesky decomposer and a matrix inversion device, wherein the Cholesky decomposer is long-pending the conjugation symmetrical matrix that the symmetrical matrix of conjugation symmetry is decomposed into lower triangular matrix and it, the matrix inversion device carries out matrix inversion to the result of Cholesky destroyer breaks down then, finishes matrix inversion operation; The equation solver of sub-district more than is eliminated MAI and ISI simultaneously.

Another aspect of the present invention is to provide the method for reseptance of a kind of TD-SCDMA of being used for system, is used to receive the same frequency mixed signal of many sub-districts, and it comprises: the data separating step is divided into training sequence part and data division with the data that receive; Channel estimation steps is partly carried out the estimation of channel impulse response according to common frequency multi-cell training sequence and data separating step training sequence separated; Many sub-districts code channel activating estimating step is estimated the activated code channel of a plurality of co-frequency cells; Multi-cell channel channel impulse response treatment step is made denoising to channel estimating and is handled, and estimating noise power; The matrix inversion step is finished the correlation matrix inversion operation, or the inversion operation of the correlation matrix after loading; Many sub-districts equation solution step is eliminated MAI and ISI simultaneously.

Multi-plot joint of the present invention detects has united the signal that closes on several co-frequency cells, utilizes information, so can reach optimum performance.

Description of drawings

Fig. 1 is that the homogenous frequency signal of TD-SCDMA system receives schematic diagram;

Fig. 2 is the structure of time slot of TD-SCDMA system;

Fig. 3 is that window (Active window) schematic diagram is activated in single sub-district;

Fig. 4 is the flow chart of the receiver of multi-plot joint detection algorithm;

Fig. 5 is the flow chart of single community associated detection;

Fig. 6 is the schematic diagram of the data separating function of DS (data extractor) execution;

Fig. 7 is the characteristics schematic diagram of midamble sequence used in the present invention;

Fig. 8 is the schematic diagram that Midamble disturbs data segment E1, E2 afterbody;

Fig. 9 is that window (Active window) schematic diagram is activated in many sub-districts.

Embodiment

Homogenous frequency signal among the TD-SCDMA receives as shown in Figure 1, common-frequency cell signal mixes back incoming terminal antenna in the space, send into the multi-plot joint detector after wireless signal process radio frequency and the Base-Band Processing and carry out joint-detection, the signal that the multi-plot joint detector is united a plurality of co-frequency cells carries out interference eliminated and joint demodulation, at last this user's soft demodulating information is sent into the information bit that decoder obtains expecting.

The joint detection process of single sub-district and many sub-districts is similar substantially, but variant on the resume module in practice, below come the joint detection process of many sub-districts is described in conjunction with the joint detection process of single sub-district earlier.The joint detection process of single sub-district as shown in Figure 5, the joint detection process of many sub-districts is as shown in Figure 4.Each module wherein can be regarded a part of device as, and its arrow points can be regarded concrete implementing procedure as.Certainly, the description of following process also can be regarded the use of device and the elaboration of method as.

For the joint detection process of single sub-district and many sub-districts, input and output are its total, identical parts with data flow, and difference is mainly on module.

Input and output:

Input data: the control signal of high-rise configuration, the data of reception;

Dateout: demodulation result d _Eq

The control signal of its configuration on the middle and senior level comprise training sequence sequence number, training sequence and the method for salary distribution (according to agreement, have three kinds: DEFAULT,, COMMON and SPECIFIC, the present invention is example with DEFAULT).Receiving data is 864 chip data segments, and comprising two segment datas and one section training sequence, demodulation result is 704 complex symbols, comprises real part and imaginary part.

Data flow:

At first import data and enter separation module, be divided into data segment e _Data(E1 (368 chip)+E2 (368 chip)) and training sequence e _Midamble(128 chip); Data segment e _DataBe input to MIC (training sequence interference eliminated) module, wherein the E1 of first sends into the DASS module.The control signal that receives is sent among DASS and the CHE (estimator) and is further handled, and CHE (estimator) is according to the training sequence e that receives _MidambleCarry out channel estimating, the h as a result of channel estimating sends into PP (reprocessing) module and DASS module.

DASS (activated code channel detection) module output activated code channel information is given follow-up other all JD (community associated detection) submodule.The impulse response h of PP (reprocessing) module after according to h and code channel activating information output denoising _SmgAnd h _Mic, and the estimated result of output noise power

H wherein _SmgSend into sytem matrix generation module SMG (sytem matrix maker), h _MicSend into interference cancellation module MIC.SMG (sytem matrix maker) is according to input h _SmgWith code channel activating information generating system matrix A, the MIC module is according to h _MicWith code channel activating information the interference of data segment is eliminated, obtained data e _Mic, MF (matched filter) utilizes sytem matrix A to e _MicCarry out matched filtering, obtain d as a result _Mf

RMG (correlation matrix maker) generates correlation matrix R according to sytem matrix A, and R is a lower triangular matrix; Noise power is estimated

Send into CYD (Cholesky decomposer) module together with matrix R, will produce a lower triangular matrix L, and INV (matrix inversion device) module is inverted L, get L ^-1

EQ (equation solver) is according to input L ^-1And d _MfObtain getting d as a result after the joint-detection _Eq

Single sub-district module brief introduction:

DASS (activated code channel detection)

DASS is used to survey the needed activated code channel information of current time slots joint-detection.Whether its specific practice is to use first segment data and channel estimating h to detect a certain code channel and activates.Input parameter is the midamble method of salary distribution, Kcell value and SF value, these parameters are from the JD control information of high level configuration, DASS judges according to the matched filtering result to data, if the power of matched filtering is higher than 1/4 of this sub-district activated code channel power, think that then this code channel activates, otherwise think not activate.

DS (data extractor)

DS carries out data separating function as shown in Figure 6.

CHE (estimator)

In the TD-SCDMA system, channel estimation module carries out the estimation of channel impulse response with local Midamble data and the Midamble data that receive.Suppose that training sequence process rotation transformation before emission that the user uses is the complex-valued data B of Midamble _Midamble, the data that receive are R _Midamble, other establishes h is channel impulse response, n is a white noise.Then can obtain following formula:

RMidamble＝Gh+n

G is the transition matrix that is made of basic Midamble sign indicating number.Because the noise robustness of the training sequence Midamble sign indicating number of selecting for use is better, The noise can be ignored, and therefore can obtain following formula:

RMidamble＝Gh

Adopt following formula calculating channel impulse response

$\hat{h}=\mathrm{IFFT}(\mathrm{FFT}\left(R_{\mathrm{Midamble}}\right)\·/\mathrm{FFT}\left(B_{\mathrm{Midamble}}\right))$

Channel estimation module is exported this channel impulse response

FFT is a fast fourier transform in the formula, and IFFT is an inverse fast fourier transform.

JD_PP (channel estimating reprocessing)

The major function of JD_PP is the noise of eliminating among the CHE, and is the data that SMG and MIC prepare required channel impulse response

The first step: eliminate noise

To be lower than the little energy tap zero setting of predetermined threshold value, keep the macro-energy footpath.

Second step: for the required CIR of channel impulse response is eliminated in MIC output

According to Kcell value and DASS testing result CHE is divided into M and activates window h ¹, h ², h ³..., h ^M, each length of window that activates window be W. as shown in Figure 3, these theactivewindows are arranged in order are h _MicSend into MIC

h _mic＝[h ¹ h ² h ³ ... h ^M?]

The 3rd step: for SMG output system matrix generates required CIR

According to agreement, the theactivewindow in second step might corresponding one or more spreading codes, and according to the information of spreading code theactivewindow being lined up is h _Smg, for example, corresponding two code channels of each window then have

h _smg＝[h ¹?h ¹?h ²?h ²?......?h ^M?h ^M]

MIC (training sequence interference eliminated)

The Midamble interference cancellation module is used for eliminating preceding W-1 chip receiving Midamble in the data W-1 chip of leading interference and back of first data block is disturbed (W is 16 to the maximum) to the hangover of second data block, the data e of output elimination interference.

Because the midamble data segment links to each other with the afterbody of data segment E1 and the head of data segment E2 respectively, after the Burst data are passed through air traffic channel, according to the principle of linear convolution, the midamble data segment can produce certain interference for the afterbody of data segment E1 and the head of data segment E2 as can be known.

Disturb in order to remove it, we do following analysis:

In system, our employed midamble sequence has characteristics as shown in Figure 7:

As seen, the preceding 16chips of midamble_data (1:144) sequence is identical with back 16chips among Fig. 7.

Midamble to the interference of data segment E1, E2 afterbody as shown in Figure 8,

For the interference of data segment E1 afterbody, be by the preceding 16chips of midamble_data (1:144), (being the back 16chips of Midamble (1:128)) forms with the channel impulse response convolution;

For the interference of data segment E2 head, be that (being the back 16chips of Midamble (1:128)) forms with the channel impulse response convolution by midamble_data (1:144) back 16chips.

As seen, (W-1) chips on the left side is the interference of Midamble to data segment E1 afterbody among Fig. 8, and interference signal is preceding (W-1) chips of 16chips and channel impulse response convolution results behind the Midamble; (W-1) chips on the right is the interference of Midamble to data segment E2 head, and interference signal is back (W-1) chips of 16chips and channel impulse response convolution results behind the Midamble.

In system, the Midamble sequence is that the Midamble by contained user in the Burst data segment is formed by stacking.Therefore we adopt following algorithm to find the solution interference signal:

If K user arranged in the Burst data segment, k user's of h (k) expression channel impulse response, the back 16chips of k the employed midamble sequence of user of m (k) expression;

Utilize following formula:

$\mathrm{MI}=\underset{k=1}{\overset{M}{\mathrm{\Σ}}}{h}^{\left(k\right)}*m^{\left(k\right)}$

H wherein ^(k)From the h among the JD_PP _MicCan obtain by 16chips and channel impulse response convolution value after K user's the back Midamble sequence that forms of Midamble sequence stack is MI (16+W-1) chips;

Midamble is to the interference of data segment E1 afterbody: MI (1:W-1);

Midamble is to the interference of data segment E2 head: MI (17:16+W-1).

SMG (sytem matrix maker)

The function of SMG produces sytem matrix exactly.Sytem matrix A has following structure

Wherein, N=22 is a symbolic number, and Q=16 is a spreading code length, and W=16 is the length of each theactivewindow, CH _VBe code channel number, scope 1～16.

If matrix B is the submatrix of matrix A, and following structure is arranged

${\left[\begin{array}{cccc}{b_1}^{\left(1\right)}& {b_1}^{\left(2\right)}& ...& {b_1}^{\left(C{H}_v\right)}\\ .& .& & .\\ .& .& ...& .\\ .& .& & .\\ {b_{31}}^{\left(1\right)}& {b_{31}}^{\left(2\right)}& ...& {b_{31}}^{\left(C{H}_v\right)}\\ 0& 0& 0& 0\end{array}\right]}_{[32\×C{H}_v]}$

Here the B matrix is the non-null part among the A, total CH _VRow and 32 row.Wherein the B matrix column is to be obtained by following convolution: b ^(k)=c ^(k)* h ^(k), k=1 ..., CH _V, c wherein ^(k)Be spreading code, * is a linear convolution, h ^(k)For length is the impulse response of W, from the h among the JD_PP _Smg

MF (matched filtering)

MF carries out following operation:

Matched filtering can obtain d by following matrix multiplication _Mf=A ^He _Mic

RMG (correlation matrix maker)

Because sytem matrix has following block structure

So sytem matrix R=A ^HA has following structure

In order to save the space, we can only store the following triangular portions of following matrix

$R=\left[\begin{array}{cc}{R}_0& R_1\\ {R_1}^H& R_0\end{array}\right]$

CYD (Cholesky decomposer)

Wherein consider MMSE, need be with noise power

Be loaded on the diagonal of R matrix

$R_d=R_0+{\mathrm{\σ}}_n^{2}I$

Here R _d, R ₀With the I size be CH _V* CH _V, I is a unit matrix.

Thereby with following matrix decomposition $R=\left[\begin{array}{cc}{R}_d& R_1\\ {R_1}^H& R_d\end{array}\right]={\mathrm{LL}}^H$

The detailed process of CYD is as follows:

$R=\left[\begin{array}{cccc}{r}_{11}& {\mathrm{<figure-callout\; id="12"\; label="r"\; filenames="A20061001215200211.png"\; state="\{\{state\}\}">r</figure-callout>}}_{12}& ...& r_{1n}\\ r_{21}& r_{22}& ...& r_{2n}\\ ...& ...& ...& ...\\ r_{n1}& r_{n2}& ...& r_{\mathrm{nn}}\end{array}\right]=L*L^H=\left[\begin{array}{cccc}{l}_{11}& 0& ...& 0\\ l_{21}& l_{22}& ...& 0\\ ...& ...& ...& ...\\ l_{n1}& l_{n2}& ...& l_{\mathrm{nn}}\end{array}\right]*\left[\begin{array}{cccc}{l}_{11}& l_{21}^{*}& ...& l_{n1}^{*}\\ 0& l_{22}& ...& l_{n2}^{*}\\ ...& ...& ...& ...\\ 0& ...& 0& l_{\mathrm{nn}}\end{array}\right]$

Here, n is the dimension of matrix, according to the principle and the l of matrix multiplication _Jk=0 (j＜k), can reach following equation and iterative process $r_{\mathrm{ij}}=\underset{k=1}{\overset{n}{\mathrm{\&Sigma;}}}{l}_{\mathrm{ik}}{l}_{\mathrm{jk}}^{*}=\underset{k=1}{\overset{j-1}{\mathrm{\&Sigma;}}}{l}_{\mathrm{ik}}{l^{*}}_{\mathrm{jk}}+l_{\mathrm{ij}}{l}_{\mathrm{jj}}^{*}$

For j=1,2 ..., n

$l_{\mathrm{ij}}={(r_{\mathrm{ij}}-\underset{k=1}{\overset{j-1}{\mathrm{\&Sigma;}}}{l}_{\mathrm{jk}}{l}_{\mathrm{jk}}^{*})}^{1/2}$

$l_{\mathrm{ij}}=(r_{\mathrm{ij}}-\underset{k=1}{\overset{j-1}{\mathrm{\&Sigma;}}}{l}_{\mathrm{jk}}{l}_{\mathrm{jk}}^{*})/l_{\mathrm{jj}}(i=j+1,...,n)$

$l_{11}=r_{11}^{1/2}$

l _i1＝r _i1/l ₁₁?i＝2，3，...，n

INV (matrix inversion device)

INV finishes the inverting of lower triangular matrix, and detailed process is as follows:

${\mathrm{LL}}^{-1}=\left[\begin{array}{cccc}{l}_{11}& 0& ...& 0\\ l_{21}& l_{22}& ...& 0\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ l_{n1}& l_{n2}& ...& l_{\mathrm{nn}}\end{array}\right]\&CenterDot;\left[\begin{array}{cccc}{t}_{11}& 0& ...& 0\\ t_{21}& t_{22}& ...& 0\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ t_{n1}& t_{n2}& ...& t_{\mathrm{nn}}\end{array}\right]=\left[\begin{array}{cccc}1& 0& ...& 0\\ 0& 1& ...& 0\\ .& .& .& .\\ .& .& .& .\\ .& .& .& .\\ 0& 0& ...& 1\end{array}\right]$

Principle and l according to matrix multiple _Ik=0, t _Ik=0 (i＜k), we can obtain

l _jjt _jj＝1 j＝1，2，......，n

$\underset{k=1}{\overset{j}{\mathrm{\&Sigma;}}}{l}_{\mathrm{jk}}{t}_{\mathrm{ki}}=0$ i＝1，2，......，n j＝1，2，......，n

The element of its inverse matrix can be obtained by following equation,

t _jj＝1/l _jj j＝1，2，......，n

$t_{\mathrm{ji}}=(-\underset{k=i}{\overset{j-1}{\mathrm{\&Sigma;}}}{l}_{\mathrm{jk}}{t}_{\mathrm{ki}})/l_{\mathrm{jj}}$ j＝1，2，......，n i＝1，2，......，n

EQ (equation solver)

EQ eliminates multiple access and disturbs and intersymbol interference by following matrix multiple,

${\hat{d}}_{\mathrm{eq}}={\left(L^{-1}\right)}^H\left(L^{-1}\right){\hat{d}}_{\mathrm{mf}}$

L wherein ^-1From the INV module,

From the MF module

The module brief introduction of many sub-districts:

Many sub-districts and single sub-district and the main difference of module are at MJD_CHE (multi-cell channel estimator), MJD_DASS (many sub-districts DASS estimator), MJD_PP (multi-cell channel post-processing module), on MJD_MIC (many sub-districts training sequence interference eliminated) and the MJD_SMG (multi-cell system matrix maker), all the other modules are constant.Be that example illustrates this difference with two co-frequency cells below.

MJD_CHE

Suppose that training sequence process rotation transformation before emission that the user uses is the complex-valued data of Midamble, the data that receive are e _Midamble, be example with two co-frequency cells, establish h ₁And h ₂Be channel impulse response, n is a white noise, and following formula: e is arranged _Midamble=G ₁h ₁+ G ₂h ₂+ n.G ₁And G ₂It is the transition matrix that constitutes by the employed basic Midamble sign indicating number in two basic sub-districts.

When realizing, adopt following formula calculating channel impulse response h ₁And h ₂: H=(V+ σ ²I) ^-1E.

Here

$V=\left[\begin{array}{cc}{G}_1^H{G}_1& G_1^H{G}_2\\ G_2^H{G}_1& G_2^H{G}_2\end{array}\right],$ $H=\left[\begin{array}{c}{h}_1\\ h_2\end{array}\right],E=\left[\begin{array}{c}{G}_1^H{e}_{\mathrm{Midamble}}\\ G_2^H{e}_{\mathrm{Midamble}}\end{array}\right],$ σ ²I＝E(nn ^H)

MJD_DASS

Single sub-district DASS carries out matched filtering and activates detection receiving data in single cell range, many sub-districts DASS at first detects the information of near-by interference sub-district, as the sequence number of the training sequence of adjacent cell, next is copied single sub-district activated code channel detection method that the code channel activating information of adjacent cell is detected in the lump and is input in other modules of follow-up many sub-districts JD as control information.

MJD_PP

The major function of many sub-districts JD_PP is the noise of eliminating among the CHE of many sub-districts, and is the data that many sub-districts SMG and many sub-districts MIC prepare required channel impulse response.

The first step: eliminate noise

To be lower than the little energy tap zero setting of predetermined threshold value, keep the macro-energy footpath.

Second step: be that the required CIR of channel impulse response is eliminated in two sub-district MIC output

Kcell value and two sub-district DASS testing results according to two sub-districts are divided into M with two sub-district CHE ₁And M ₂Individual activation window h ₁ ¹h ₁ ²h ₁ ³... h ₁ ^M1, h ²¹ ₁h ₂ ²h ₂ ³... h ₂ ^M2, each length of window that activates window is W.As shown in Figure 9, these theactivewindows are arranged in order are h _MicSend into MIC

The 3rd step: be that two sub-district SMG output system matrixes generate required CIR

According to agreement, the theactivewindow in second step might corresponding one or more spreading codes, and according to the information of spreading code theactivewindow being lined up is h _Smg, for example, corresponding two code channels of each window then have

$h_{\mathrm{smg}}=[{\mathrm{<figure-callout\; id="1"\; label="h"\; filenames="A20061001215200211.png,A20061001215200221.png"\; state="\{\{state\}\}">h</figure-callout>}}_1^1{\mathrm{<figure-callout\; id="1"\; label="h"\; filenames="A20061001215200211.png,A20061001215200221.png"\; state="\{\{state\}\}">h</figure-callout>}}_1^1......h_1^{M1}{h}_1^{M1}{h}_2^1{h}_2^1......h_2^{M2}{h}_2^{M2}]$

MJD_MIC

Two sub-district MIC disturb according to eliminate once of the configuration of adjacent sub-district on the basis of single sub-district more.

Specific as follows.

Utilize following formula:

$\mathrm{MI}=\underset{k=1}{\overset{M1}{\mathrm{\&Sigma;}}}{h_1}^{\left(k\right)}*{m_1}^{\left(k\right)}+\underset{k=1}{\overset{M2}{\mathrm{\&Sigma;}}}{h_2}^{\left(k\right)}*{m_2}^{\left(k\right)}$

H wherein ^(k)From the h among the JD_PP _Mic, m ₁ ^(k)And m ₂ ^(k)Be respectively the training sequence of this sub-district and adjacent sub-district correspondence

MJD_SMG

Two cell system matrixes are structurally constant, or block structure, are the sytem matrix part that increases adjacent sub-district that lists in the data block matrix B

$B={\left[\begin{array}{cccccccc}{b_1}^{\left(\mathrm{1,1}\right)}& {b_1}^{\left(\mathrm{2,1}\right)}& ...& {b_1}^{\left(\mathrm{<figure-callout\; id="1"\; label="C\; Hv"\; filenames="A20061001215200211.png,A20061001215200221.png"\; state="\{\{state\}\}">C</figure-callout>}\mathrm{Hv}\mathrm{1,1}\right)}& {b_1}^{\left(\mathrm{1,2}\right)}& {b_1}^{\left(\mathrm{2,2}\right)}& ...& {b_1}^{\left(C\mathrm{Hv}\mathrm{2,2}\right)}\\ {b_2}^{\left(\mathrm{1,1}\right)}& {b_2}^{\left(\mathrm{2,1}\right)}& ...& {b_2}^{\left(\mathrm{<figure-callout\; id="1"\; label="C\; Hv"\; filenames="A20061001215200211.png,A20061001215200221.png"\; state="\{\{state\}\}">C</figure-callout>}\mathrm{Hv}\mathrm{1,1}\right)}& {b_2}^{\left(\mathrm{1,2}\right)}& {b_2}^{\left(\mathrm{2,2}\right)}& ...& {b_2}^{\left(C\mathrm{Hv}\mathrm{2,2}\right)}\\ ...& ...& ...& ...& ...& ...& ...& ...\\ {b_{31}}^{\left(\mathrm{1,1}\right)}& {b_{31}}^{\left(\mathrm{2,1}\right)}& ...& {b_{31}}^{\left(C\mathrm{Hv}1.1\right)}& {b_{31}}^{\left(\mathrm{1,2}\right)}& {b_{31}}^{\left(\mathrm{2,2}\right)}& ...& {b_{31}}^{\left(C\mathrm{Hv}\mathrm{2,2}\right)}\\ 0& 0& ...& 0& 0& 0& ...& 0\end{array}\right]}_{[32*(\mathrm{<figure-callout\; id="1"\; label="CHv"\; filenames="A20061001215200211.png,A20061001215200221.png"\; state="\{\{state\}\}">CHv</figure-callout>}1+\mathrm{CHv}2)]}$

Be to obtain wherein by following convolution corresponding to this sub-district B matrix column:

${b_1}^{\left(k\right)}={c_1}^{\left(k\right)}*{h_1}^{\left(k\right)},$ k＝1，2，...，CHv1

C wherein ₁ ^(k)Be this sub-district spreading code, * is a linear convolution, h ₁ ^(k)For length is the impulse response of W, from the h among the JD_PP _Smg

Be to obtain wherein by following convolution corresponding to adjacent sub-district B matrix column:

${b_2}^{\left(k\right)}={c_2}^{\left(k\right)}*{h_2}^{\left(k\right)},$ k＝1，2，...，CHv2

C wherein ₂ ^(k)Be this sub-district spreading code, * is a linear convolution, h ₂ ^(k)For length is the impulse response of W, from the h among the JD_PP _Smg

In the present embodiment, because the TD-SCDMA system is a tdd mode, so homogenous frequency signal is superimposed on time and frequency.In TDD-LCR, the structure of time slot of system as shown in Figure 2, each time slot is made of two segment datas and middle one section training sequence, Fig. 6 be the schematic diagram according to data separating of the present invention, being illustrated in needs data and training sequence are separated before entering joint-detection.

The combined detector receiver that is otherwise known as in the present invention, below, specifically describe the structure of the multi-plot joint detector that adopts the multi-plot joint detection algorithm by Fig. 4.As shown in Figure 4, the multi-plot joint detector comprises:

Data extractor (DS) 31, the input signal that multi-plot joint is detected is separated into training sequence and data division; Multi-cell channel estimator (MJD_CHE) 32 carries out the estimation of channel impulse response with local training sequence data and the training sequence data that receives then; Many sub-districts DASS estimator (MJD_DASS) 33 is used to estimate the activated code channel of a plurality of co-frequency cells; Multi-cell channel impulse response processor (MJD_PP) 34 is used for that the estimation channel is made denoising to be handled, and estimating noise power is as the input of many sub-districts matrix decomposition (MJD_CYD); Multi-cell system matrix maker (MJD_SMG) 35 generates the multi-cell system matrix according to the deal with data of multi-cell channel impulse response processor 34 then; Many sub-districts matched filter (MJD_MF) 36 be used for the sytem matrix that the described sytem matrix maker of computing 35 generates conjugate transpose with eliminate the long-pending of the data disturbed and export this result; Many sub-districts correlation matrix maker (MJD_RMG) 37 is finished the phase multiplication of matrix; The symmetrical matrix of conjugation symmetry is decomposed into lower triangular matrix with Cholesky decomposer (MJD_CYD) 38 and its conjugation symmetrical matrix is long-pending; The result that 39 pairs of Cholesky decomposing module of matrix inversion device (MJD_INV) are decomposed carries out matrix inversion; And many sub-districts equation solver (MJD_EQ) 310 eliminates simultaneously that multiple access disturbs and intersymbol interference, finishes the output result of multi-plot joint checkout gear.

Wherein said least mean-square error piece linear algorithm module comprises that being used for eliminating the chip that receives training sequence in the data disturbs, exports the training sequence interference cancellation module of eliminating the data of disturbing to the leading interference of first data block with to the hangover of second data block.

After wherein data extractor 31 whenever receives the data of a time slot, the data of a time slot are divided into data e according to separation method shown in Figure 6 _DataAnd training sequence (Midamble) e _MidambleTwo parts, wherein e _DataPart comprises preceding 368 symbols shown in Figure 6 and back 368 symbols, e _MidamblePart is meant that length is the Midamble sequence of 128 symbols.Training sequence part e _MidambleIn the input channel estimator 32, be used to carry out the estimation of channel impulse response (CIR), the output of channel estimating

Further eliminate noise as the input that MJD_PP estimates.The output of MJD_PP estimation is as the input of MJD_MF and MJD_RMG then, CYD and INV invert the formed correlation matrix of MJD_RMG, MJD_EQ utilizes the result of inverse matrix that the data of MF are carried out interference eliminated and equilibrium treatment, is the output that multi-plot joint detects.

MJD_DASS33 is meant the code channel activating situation of many sub-districts is estimated, activation situation with the corresponding code channel of determining all sub-districts, here MJD_DASS33 is according to the matched filtering result who receives data is judged, each code channel corresponding to many sub-districts, there is a coupling energy result in the capital, relatively these results need to judge whether a certain code channel of joint demodulation according to certain thresholding, MJD_DASS and the following module of giving MJD with final judged result.

The channel impulse response that channel estimator 32 obtains

Input MJD_PP processor.In the multi-path environment of reality, channel impulse response (CIR) is though only comprise limited several non-zero tap usually, but because channel is unpredictable to receiver, adopt which kind of channel estimation methods all to be subjected to the influence of noise jamming and channel fading inevitably, make that the estimated channel impulse response is difficult to satisfy the condition of having only limited several non-zero tap, so adopt the MJD_PP processor to finish the desirable impulse response that from the estimated channel impulse response, obtains having only limited several non-zero tap usually.Its basic principle is: the channel impulse response that receives the Midamble sequencal estimation not only comprises signal, also comprises noise.Because the hypothesis interchannel noise is the additivity additive white Gaussian, can think that noise energy is evenly distributed in the channel impulse response sequence of length 128.By on the noise power of estimating, certain thresholding being set signal and noise are distinguished, to reach the effect of removing noise and random disturbances to a certain extent.

Offset the analysis of disturbing except that the data segment trailer according to the front, we go out to disturb according to the convolutional calculation of CIR and Miamble by MJD_MIC, deduct this interference then and achieve the above object on data division.

Another free-revving engine of channel impulse response CIR is to generate the multi-cell system matrix.The multi-cell system matrix is meant the channel information that has comprised with a plurality of sub-districts under the frequency, code channel information and mutual capacity volume variance or the like important wireless parameter, sytem matrix is the basis of joint-detection thus, relied on the sytem matrix of many information just, just made multi-plot joint detect in homogenous frequency signal is handled and show one's talent.Specifically, the multi-cell system matrix is formed by following step:

1, utilizes many sub-districts CIR and corresponding many sub-districts code channel information convolution to generate and merge impulse response;

2, form sytem matrix A to merge impulse response as column vector; MJD SMG is exactly a module of finishing this function, and the result is exported to MJD_RMG and MJD_MF.

MJD_MF carries out the matched filtering of many sub-districts, and so-called coupling is meant that the data after utilizing sytem matrix that MJD_SMG forms to MIC carry out descrambling and despreading, promptly

e_ _MF＝A ^He

The data of finishing matched filtering will be delivered to MJD_EQ and do further interference eliminated and equilibrium treatment, reach the effect of eliminating MAI and ISI simultaneously.

MJD_RMG is meant the module of sytem matrix being carried out auto-correlation computation, and this computing is the basis of MJD_EQ, is the generalized inverse preparation process of matrix, is specially

R＝A ^HA

If consider noise, we can also be modified to above-mentioned matrix

R＝A ^HA+σ ²I

This way meets the MMSE treatment principle in the signal processing, therefore, and when noise factor loads on the diagonal of autocorrelation matrix, we are referred to as the MMSE-BLE receiver, in like manner, if when considering among the MJD that noise loads, we can be referred to as to have adopted the MJD receiver of MMSE-BLE.

MJD_CYD and MJD_INV module are to the autocorrelation matrix R=A of system ^HThe module that A inverts promptly obtains an inverse matrix R ^-1Make

R ^-1R＝I

As the most important parts in the multi-plot joint detection, MJD_EQ is the nucleus module of joint-detection, MJD_EQ will utilize system's auto-correlation inverse matrix that the matched filtering data are carried out the joint demodulation of MAI and ISI, and multiple access disturbs and the multipath interference because the code channel information of the comprehensive a plurality of sub-districts of MJD_EQ is removed.

Promptly

d _eq＝R ^-1e _{_MF}

MJD_EQ output is the result that multi-plot joint detects.

Below, with reference to the step of Fig. 4 description according to method of reseptance of the present invention.

1)。Data extractor 31 receives data;

2), utilize data extractor 31, according to structure of time slot shown in Figure 6, the data of a time slot that will receive in step S101 are divided into data division e _Data(E1 and E2) and Midamble part e _Midamble, data division e wherein _DataComprise preceding 368 symbols shown in Figure 6 and back 368 symbols.

3), utilize channel estimator 32, with local Midamble1 and face sub-district Midamble2 data with from step 2) the Midamble data e that obtains _MidambleCarry out the estimation of channel impulse response.

4), MJD_DASS estimates the code channel activating situation of many sub-districts according to receiving data and channel estimation results, provides the position of activated code channel.This information is the control information that needs among the MJD.

5), utilize the MJD_PP processor, from the channel impulse response that step 3) is estimated to obtain, choose the desirable impulse response (CIR) that has only limited several non-zero tap.The method that this CIR chooses can realize by denoising method.MJD_PP is according to common frequency multi-cell activated code channel testing result configuration data h simultaneously _MicAnd h _Smg

6), utilize the h as a result of MJD_PP processor _Mic, MJD_MIC carries out the processing of interference eliminated to the afterbody of data E1 and the head of E2.

7), MJD_SMG is with the output h of MJD_PP _SmgThe code channel that activates with many sub-districts carries out convolution algorithm, forms the multi-cell system matrix.

8), the MJD_MF data of sytem matrix A after to MIC of utilizing MJD_SMG are carried out matched filtering.

9), MJD_R utilizes A to generate autocorrelation matrix R (A ^HA or A ^HA+ σ ²I).

10), MJD_CYD and MJD_INV invert to sytem matrix, obtain R ^-1

11), MJD_EQ utilizes R ^-1E as a result with MJD_MF _MFCarry out equation solution, finish the elimination of uniting of MAI and ISI.

Aforesaid step 7), 8), 9), 10) and 11) constitute the key step that a multi-plot joint detects, these steps are according to 3) and 4) channel and the code channel activating situation that are provided, utilize the multi-plot joint detection algorithm to do and carry out demodulation with mixing the reception data frequently.

Both be applicable to terminal receiver according to receiving system of the present invention and method, and also be suitable for network terminal and receive machine.

In addition, though the top reception data instance of modulating with QPSK is described receiving system of the present invention and method, the present invention is applicable to any other modulation systems too.Above-mentioned execution mode only is used to illustrate the present invention, and be not limitation of the present invention, the those of ordinary skill in relevant technologies field is under the situation that does not break away from the spirit and scope of the present invention, can also make various variations and modification, therefore formed technical scheme also belongs to category of the present invention.

Claims (12)

1. a receiving system that is used for the TD-SCDMA system is used to receive the multiple sectors at same audio data, and this receiving system comprises:

One data extractor, the data separating that is used for receiving is training sequence part and data division;

One channel estimator is used for partly carrying out the estimation of channel impulse response according to the training sequence and the data extractor training sequence separated of common frequency multi-cell;

The code channel activating estimator of sub-district more than is used to estimate the activated code channel of a plurality of co-frequency cells;

One multi-cell channel impulse response processor is used for that channel estimating is made denoising and handles, and produces estimating noise power;

One multi-cell system matrix maker is used to generate the multi-cell system matrix;

The matched filter of sub-district more than is finished the matched filtering of many sub-districts;

The correlation matrix maker of sub-district more than is finished the matrix multiple computing;

An one Cholesky decomposer and a matrix inversion device, wherein the Cholesky decomposer is long-pending the conjugation symmetrical matrix that the symmetrical matrix of conjugation symmetry is decomposed into lower triangular matrix and it, the matrix inversion device carries out matrix inversion to the result of Cholesky destroyer breaks down then, finishes matrix inversion operation;

The equation solver of sub-district more than is eliminated MAI (multiple access interference) and ISI (intersymbol interference) simultaneously.

2. receiving system as claimed in claim 1, wherein

The data division that described data extractor separates comprises data symbol, 16 symbols among the Midamble in the time slot and protects at interval.

3. receiving system as claimed in claim 1, wherein said multi-cell channel impulse response processing unit adopt the threshold processing mode to choose impulse response.

4. receiving system as claimed in claim 1, wherein,

Described many sub-districts code channel activating estimator utilization reception data and channel estimation results are estimated the activated code channel of a plurality of co-frequency cells.

5. receiving system as claimed in claim 1, wherein,

Described matrix inversion device the autocorrelation matrix of a plurality of sub-districts is inverted or load after autocorrelation matrix invert.

6. as each described receiving system of claim 1-5, this receiving system is that terminal receiver or network terminal receive machine.

7. a method of reseptance that is used for the TD-SCDMA system is used to receive multiple sectors at same data frequently, and it comprises:

The data separating step is divided into training sequence part and data division with the data that receive;

Channel estimation steps is partly carried out the estimation of channel impulse response according to common frequency multi-cell training sequence and data separating step training sequence separated;

Many sub-districts code channel activating estimating step is estimated the activated code channel of a plurality of co-frequency cells;

Multi-cell channel channel impulse response treatment step is made denoising to channel estimating and is handled, and produces estimating noise power;

The matrix inversion step is finished the correlation matrix inversion operation, or the inversion operation of the correlation matrix after loading;

Many sub-districts equation solution step is eliminated MAI (multiple access interference) and ISI (intersymbol interference) simultaneously.

8. method of reseptance as claimed in claim 7, wherein

The data division that is separated in the described data separating step comprises data symbol, 16 symbols among the Midamble in the time slot and protects at interval.

9. method of reseptance as claimed in claim 7, wherein

Multi-cell channel impulse response treatment step adopts the threshold processing mode to choose the processing method of impulse response.

10. method of reseptance as claimed in claim 7, wherein,

In the code channel activating estimating step of described many sub-districts, utilize reception data and channel estimation results to estimate the activated code channel of a plurality of co-frequency cells.

11. method of reseptance as claimed in claim 7, wherein,

Described matrix inversion step the autocorrelation matrix of a plurality of sub-districts is inverted or load after autocorrelation matrix invert.

12. as each described method of reseptance of claim 7-11, this method of reseptance is applicable to that terminal receives or network terminal receives.

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