Constant Norm Algorithms for MIMO communication systems
Constant Norm Algorithms for MIMO communication systems
复制标题
MIMO 通信系统的常数范数算法
DOI：
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发表时间：
2005
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通讯作者：
J. Palicot
中科院分区：
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作者：
A. Ikhlef;Daniel Le Guennec;J. Palicot
在本文中，我们提出了一种基于多输入多输出（MIMO）通信系统的常范数（CN）准则的盲源分离（BSS）新算法。所处理的问题在于盲目恢复（即不使用训练序列）通过线性 MIMO 无记忆系统传输的信号，这仅引入流间干扰 (ISI)。从所提出的算法中，我们推导出另外两种专为 QAM 信号设计的新算法。第一个算法称为常量平方算法 (CQA)，第二个算法是常量模算法 (CMA) 和 CQA 之间的加权，以获取两者的优点，称为常动态范数算法 (CDNA)。在每次迭代中，算法结合随机梯度更新和 Gram-Schmidt 正交化过程。仿真结果表明，与复杂度相当的CMA和多用户峭度算法（MUK）相比，所提出的算法具有更好的性能。
In this paper we present a new algorithm for blind source separation (BSS) based on the Constant Norm (CN) criterion for Multiple-Input Multiple-Output (MIMO) communication systems. The treated problem consists in blindly recovering (i.e. without the use of training sequences) the signals transmitted over a linear MIMO memoryless system, which introduces only Inter Stream Interference (ISI). From the proposed algorithm, we deduce two other new algorithms designed especially for QAM signals. The first one is named Constant sQuare Algorithm (CQA) and the second one, which is a weighting between the Constant Modulus Algorithm (CMA) and the CQA to get the advantages of both, is named Constant Dynamic Norm Algorithm (CDNA). At each iteration, the algorithms combine a stochastic gradient update and a Gram-Schmidt orthogonalization procedure. The simulation results show that the proposed algorithms have better performances compared to CMA and Multiuser Kurtosis Algorithm (MUK) with comparable complexity.