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On blind multiuser forward link channel estimation by the subspace method: identifiability results

机译:基于子空间方法的盲多用户前向链路信道估计:可识别性结果

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摘要

Blind channel estimation for periodic sequence DS-CDMA systems can be cast into the framework of "structured" blind estimation of multi-input/multi-output (MIMO) FIR systems, where the structure is imposed by the user's signatures. A possible approach to tackle this problem consists in looking for a structured solution to one of the blind MIMO-FIR systems, proposed previously. This is the approach undertaken by several authors. However, most of them did not address identifiability issues. In this paper, we first recall and reformulate some general MIMO FIR identification results of Meraim, Loubaton and Moulines (see IEEE Trans. Inform. Theory, vol.43, p.499-511, 1997), and point out some difficulties posed by the subspace approach. Next, we use the above material in order to analyze the behavior of the subspace forward link channel estimate of CDMA systems. We derive new results showing that the subspace method is not robust to an over-determination of the channel order greater than the spreading factor. If however the over-determination error is less than the spreading factor, we show that the subspace estimate is consistent if the codes of the users are properly designed.
机译:可以将周期序列DS-CDMA系统的盲信道估计植入多输入/多输出(MIMO)FIR系统的“结构化”盲估计框架中,该结构由用户签名强加。解决此问题的一种可能方法是寻找一种针对先前提出的盲MIMO-FIR系统之一的结构化解决方案。这是几位作者采取的方法。但是,其中大多数都没有解决可识别性问题。在本文中,我们首先回顾并重新制定了一些Meraim,Loubaton和Moulines的一般MIMO FIR识别结果(请参阅IEEE Trans。Inform。Theory,第43卷,第499-511页,1997年),并指出了一些困难。子空间方法。接下来,我们使用以上材料来分析CDMA系统子空间前向链路信道估计的行为。我们得出的新结果表明,子空间方法对于大于阶跃因子的信道阶数的过高确定不具有鲁棒性。但是,如果超确定误差小于扩频因子,则表明如果正确设计了用户代码,则子空间估计值是一致的。

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