Blind recovery of MIMO QAM signals: A criterion with its convergence analysys
Blind recovery of MIMO QAM signals: A criterion with its convergence analysys
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MIMO QAM 信号的盲恢复：一个准则及其收敛性分析
DOI：
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发表时间：
2006
期刊：
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通讯作者：
Daniel Le Guennec
中科院分区：
文献类型：
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作者：
A. Ikhlef;Daniel Le Guennec
研究了多输入多输出(MIMO)通信系统中QAM信号的盲恢复问题。我们提出了一种基于均衡器输出的实部(或等价于虚部)的具有互相关约束的新准则。性能分析表明，该算法不存在任何不期望的局部平稳点，确保了所有传输信号的完美恢复和算法的全局收敛。从所提出的准则出发，推导出一种自适应算法。仿真结果表明，与常模算法(CMA)和多模算法(MMA)相比，该算法具有较低的计算复杂度。数值结果表明了该算法的有效性。
In this paper, The problem of blind recovery of QAM signals for Multiple-Input Multiple-Output (MIMO) communication systems is investigated. We propose a new criterion based on the real (or equivalently the imaginary) part of the equalizer outputs, with a cross correlation constraint. A performance analysis reveals the absence of any undesirable local stationary points, which ensures perfect recovery of all transmitted signals and global convergence of the algorithm. From the proposed criterion an adaptive algorithm is derived. It is shown that the proposed algorithm presents a lower computational complexity compared to the constant modulus algorithm (CMA) and multimodulus algorithm (MMA). The effectiveness of the proposed algorithm is illustrated by some numerical results.