# CN100544327C - Low complexity detector for serial interference deletion in minimum mean square error - Google Patents

Low complexity detector for serial interference deletion in minimum mean square error Download PDF

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Publication number
CN100544327C
CN100544327C CN 200510080117 CN200510080117A CN100544327C CN 100544327 C CN100544327 C CN 100544327C CN 200510080117 CN200510080117 CN 200510080117 CN 200510080117 A CN200510080117 A CN 200510080117A CN 100544327 C CN100544327 C CN 100544327C
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detector
matrix
lt
overscore
gt
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CN 200510080117
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CN1697430A (en
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## Description

，^的递推算法如下： ^ Recursive algorithm is as follows:

1、计算扩展加权矩阵^1=1^， Rw可由R,，R2，…，R^逐步递推得到： 当^1时，计算R,(iihj2+cr2)—![hf7 o"]。这里，h,示信道矩阵H的 1, calculates the extended weight matrix ^ 1 = 1 ^, Rw by R ,, R2, ..., R ^ gradually recursive obtained: ^ 1 when calculating R, (iihj2 + cr2) - [hf7 o "] here!. , h, the channel matrix H shown

^V,:Hlp,一J-2A,—!p二q,.—i 这里，A.,表示删除W.,的第l ,行后得到的矩阵；V.,表示删除A.,的第 !.. ^ V,: Hlp, a J-2A, - p two q, .- i where, A, represents deleted W., of l, matrix obtained after the row; V, represents deleted A., of

l一丄Z — l Z — ii—1 I —I a Shang l Z - l Z - ii-1 I -I

m + ,列后得到的矩阵；表示^一的第f M行；t表示删除p,_,的第M +《m个元素后得到的向量。 m +, obtained after column matrix; ^ represents a line of f M; T represents delete p, _, of M + "after the vector of m elements obtained.

1、抽取扩展加权矩阵W的前m列得到mmse加权矩阵W.，抽取扩展加权矩阵#;的后iV - 十1列得到排序矩阵Z,。 1, the weighting matrix W is extracted before expansion column to give mmse m weighting matrix W., extraction extended # weighting matrix; after iV - ten give a sort matrix Z ,.

2、 取出Z,.最小对角线元素对应的行序号^ ,从W,.抽取第A行得到lxM 维的加权向量0); ， （0;所对应的发射天线序号即为& 。 2, Z ,. extracted row number corresponding to the smallest diagonal element ^, W ,. extracted from row A-dimensional weight vector obtained lxM 0);, (0; corresponding to transmit antenna number is the &.

,'二1，2,…，7V。 , 'Two 1,2, ..., 7V.

y = Hx + s (1) y = Hx + s (1)

—f表示转置，；c"表示从第"根发射天线发射的信号；£ = & s2…^f表示噪声向量，M表示接收天线数目，^表示第m根接收天线接收到的噪声； -f indicates transposition,; C "represents the first" signal transmitted by the transmitter antenna root; £ = & s2 ... ^ f denotes the noise vector, M is the number of receiving antennas, ^ m-th receive antenna denotes the received noise;

y=Ly, ^…h:r表示接收信号向量，^表示第m根接收天线接收到的信 y = Ly, ^ ... h: r represents the received signal vector, ^ represents the letter m th reception antenna to

y;+1=y;-、&;否则，输出判决值，结束算法。 y; + 1 = y; -, &; otherwise, outputs a decision value, the algorithm ends. 这里，、表示信道矩阵H的 Here ,, represents a channel matrix H

A个元素的值。 A value elements. 这里，L,.表示删除向量[l 2…A/"]中值等于^^,…A—t的元 Here, L ,. means to delete vector [l 2 ... A / "] value equal ^^, ... A-t Element

,' / & / 7一1 J , '/ / 7 a 1 J

R ， -GK R, -GK

j一i 7 ^ _/ j a i 7 ^ _ /

## Claims (6)

1、一种适用于多入多出MIMO系统的低复杂度最小均方误差串行干扰删除MMSE-SIC检测器，在同一发送时隙内该检测器包含连续N次检测，其中N表示发射天线数目，其特征在于所述检测器的第i次检测包含如下步骤：a)根据以下递推算法计算第i次检测的扩展加权矩阵<overscore>W</overscore>i：当i＝1时，<overscore>W</overscore>1＝RN，RN由R1，R2，…，RN-1逐步递推得到；其中，当j＝1时，当j＝2，3，…，N时，这里，hj表示信道矩阵H的第j列，σ表示噪声的标准差，‖·‖表示Frobenius范数，(·)H表示共轭转置，表示由Rj-1的前M列构成的矩阵，M表示接收天线数目，βj＝σαj，αj＝(σ2+‖fj‖2+σ2‖dj‖2)-1，fj＝hj-Hj-1dj，Hj-1表示信道矩阵H的前j-1列构成的矩阵，(·)T表示转置，当i＝2，3，…，N时，<overscore>W</overscore>i的递推算法为：首先，将<overscore>W</overscore>i-1按行拆分为向量pi-1和矩 1, suitable for use in multiple input multiple output MIMO system low complexity MMSE MMSE-SIC serial interference cancellation detector, in the same transmission time slot comprises the detector detecting N consecutive times, where N denotes the transmit antenna number, characterized in that the i-th detector said detector comprising the steps of: a) calculating the i-th weighting matrix extended detected according to the following recursive algorithm <overscore> W </ overscore> i: when i = 1, <overscore> W </ overscore> 1 = RN, RN, ..., RN-1 obtained by the phase recursion R1, R2; wherein, when j = 1, when j = 2,3, ..., N, where hj denotes the j-th column of the channel matrix H, [sigma] represents the standard noise difference || || denotes the Frobenius norm, (·) H denotes conjugate transpose matrix representing consisting Rj-1 before and M columns, M represents the number of receiving antennas, βj = σαj, αj = (σ2 + ‖fj‖2 + σ2‖dj‖2) -1, fj = hj-Hj-1dj, j-1 before the column matrix configuration Hj-1 denotes a channel matrix H , (·) T denotes transposition, when i = 2,3, ..., N time, <overscore> W </ overscore> i recursive algorithm: first, the <overscore> W </ overscore> i-1 split into rows and moment vector pi-1 Λi-1，这里，pi-1为<overscore>W</overscore>i-1的第li-1行，Λi-1为删除<overscore>W</overscore>i-1的第li-1行后得到的矩阵；然后，删除Λi-1的第M+li-1列得到矩阵Vi-1；接着，删除pi-1的第M+li-1个元素得到向量qi-1；最后，计算b)根据<overscore>W</overscore>i得到第i次检测的最小均方误差MMSE加权矩阵Wi和排序矩阵Zi；c)取出Zi最小对角线元素对应的行序号li，取出Wi的第li行得到第i次检测的1×M维的加权向量ωi，这里，M表示接收天线数目；d)利用加权向量ωi恢复与其对应的第ki根发射天线发送的数据符号如果i≤N-1，则从接收数据中删除对其它未检测信号的干扰，这里，ki为ωi所对应的发射天线序号。 Λi-1, where, pi-1 is <overscore> W </ overscore> i-1 first li-1 line, Λi-1 is deleted <overscore> W </ overscore> i-1 first li-1 line after the obtained matrix; then, remove Λi-1 of the M + li-1 columns to give a matrix Vi-1; then remove pi-1 of the M + li-1 elements to obtain the vector qi-1; and finally, calculating b ) </ overscore> i obtain the minimum mean square error MMSE weighting matrix Wi and Zi i-th sort matrix detector according to <overscore> W; c) remove the Zi corresponding to the smallest diagonal element row number li, li of Wi removed the i-th row obtain detected 1 × M-dimensional weighting vector ωi, where, M is the number of receiving antennas; data symbols d) using the weighting vector corresponding to the recovery of [omega] i ki transmit antenna transmission if i≤N-1, remove interference from the received data on other non-detection signal, here, for the Ki ωi corresponding transmit antenna number.
2、 根据权利要求1所述的检测器，其特征在于，扩展加权矩阵的前M列即为第/次检测的MMSE加权矩阵W,.。 2. The detector according to claim 1, characterized in that, before the extended weight matrix of M columns that is / times MMSE weighting matrix W is detected, ..
3、 根据权利要求l所述的检测器，其特征在于，扩展加权矩阵W,的后_ / +!列即为第/次检测的排序矩阵Z;。 3, the detector according to claim l, characterized in that the expansion weighting matrix W, the _ / +! Column is the sort of the matrix Z / time detection ;.
4、 根据权利要求l所述的检测器，其特征在于，加权向量o^的计算公式为：〜=(11、112+"2)_1( 4. The detector as claimed in claim l, wherein the weight vector ^ o is calculated: = ~ (11,112+ "2) _1 (
5、 根据权利要求l所述的检测器，其特征在于，该检测器能够根据其它排序准则进行排序。 5. The detector as claimed in claim l, characterized in that the detector is capable of sorting to sort according to other criteria.
6、 根据权利要求l所述的检测器，其特征在于，该检测器适用于能够建模成MIMO系统的通信系统。 6. The detector as claimed in claim l, characterized in that the detector is applied to a communication system can be modeled as a MIMO system.
CN 200510080117 2005-06-30 2005-06-30 Low complexity detector for serial interference deletion in minimum mean square error CN100544327C (en)

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CN100581091C (en) 2007-04-19 2010-01-13 北京邮电大学 Automatic retransfer request scheme based on the detection and merging joint optimization of the MIMO system
CN101409604B (en) 2007-10-09 2011-04-20 鼎桥通信技术有限公司 Method for eliminating serial interference in multi-input multi-output system
CN101247159B (en) 2008-03-26 2011-06-15 北京天碁科技有限公司 Activation code path detecting method for multi-antenna association detecting system

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CN1373581A (en) 1994-07-26 2002-10-09 交互数字技术公司 Spread spectrum interference eliminator system
CN1615597A (en) 2002-01-17 2005-05-11 皇家飞利浦电子股份有限公司 Multi-user detection in mobile terminal for reducing interference

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Publication number Priority date Publication date Assignee Title
CN1373581A (en) 1994-07-26 2002-10-09 交互数字技术公司 Spread spectrum interference eliminator system
CN1615597A (en) 2002-01-17 2005-05-11 皇家飞利浦电子股份有限公司 Multi-user detection in mobile terminal for reducing interference

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