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Blind joint equalization and multiuser detection for DS-CDMA inunknown correlated noise

机译:DS-CDMA未知相关噪声的盲联合均衡和多用户检测

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The problem of blind demodulation of multiuser information symbolsnin an asynchronous multipath CDMA network in the presence ofnmultiple-access interference (MAI), intersymbol interference (ISI), andnambient channel noise is considered. First, a discrete-time signal modelnfor a multipath code-division multiple-access channel is developed,nbased upon which several linear receiver structures are defined. Blindnchannel-estimation methods exploiting the orthogonality between thensignal and noise subspaces are then discussed. In particular, channelnestimation in the presence of unknown correlated noise is considered. Itnis assumed that the receiver employs two well-separated antennas, suchnthat the noise is spatially uncorrelated. Two subspace methods fornestimating the channel response are examined, based on, respectively,nthe singular value decomposition (SVD) and the canonical correlationndecomposition (CCD) of the cross-correlation matrix of the signalsnreceived by the two antennas. Simulation results show that the CCD-basednmethod substantially outperforms the SVD-based method
机译:考虑到在存在多址干扰(MAI),码间干扰(ISI)和环境信道噪声的情况下,异步多径CDMA网络中多用户信息符号的盲解调问题。首先,建立了用于多径码分多址信道的离散时间信号模型,在此基础上定义了几种线性接收机结构。然后讨论了利用信号和噪声子空间之间的正交性的盲信道估计方法。特别地,考虑在存在未知相关噪声的情况下进行信道刺激。 Itnis假定接收机使用两个间隔良好的天线,从而使噪声在空间上不相关。分别基于两个天线接收到的信号的互相关矩阵的奇异值分解(SVD)和典范相关分解(CCD),研究了两种估计信道响应的子空间方法。仿真结果表明,基于CCD的方法明显优于基于SVD的方法

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