Blind source separation with order recovery for MIMO system and an Alamouti or Tarokh space-time block coding scheme

S. Daumont, D. Le Guennec
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引用次数: 5

Abstract

We consider the problem of blind sources separation (BSS), i.e., without the use of training sequences, for a multiuser communication system using a linear multiple input multiple output (MIMO) system combined with an Alamouti or Tarokh space-time block coding scheme. In this coding scheme, each symbol is transmitted using several time slots and through a linear instantaneous mixing channel. In order to separate the sources, we use the multiuser kurtosis (MUK) algorithm, usually used in Bell layered space time (BLAST) scheme. This algorithm allows to separate the sources in spite to redundancy insert by Alamouti and Tarokh scheme. So, we propose a new method, applied after MUK algorithm, which raises the ambiguity of sources order inherent in BSS algorithm, thanks to redundancy. Furthermore, it is shown theoretically that using this method reduces the mean square error (MSE) of 3 dB compared with a method which doesn't exploit the redundancy.
MIMO系统的盲源分离与顺序恢复及Alamouti或Tarokh空时分组编码方案
我们考虑了盲源分离(BSS)问题,即在不使用训练序列的情况下,使用线性多输入多输出(MIMO)系统结合Alamouti或Tarokh时空分组编码方案的多用户通信系统。在该编码方案中,每个符号使用多个时隙并通过一个线性瞬时混合信道进行传输。为了分离源,我们使用了Bell分层时空(BLAST)方案中常用的多用户峰度(MUK)算法。该算法允许在Alamouti和Tarokh方案插入冗余的情况下实现源分离。因此,我们提出了一种新的方法,应用于MUK算法,该方法由于冗余性而提高了BSS算法固有的源顺序的模糊性。此外,从理论上证明,与不利用冗余的方法相比,使用该方法可将均方误差(MSE)降低3 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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