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BLIND EQUALIZATION OF MIMO SYSTEMS BASED ON ORTHOGONAL CONSTANT MODULUS ALGORITHM

机译:基于正交恒定模量算法的MIMO系统盲均衡

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摘要

This paper investigates adaptive blind source separation and equalization for Multiple Input Mul-tiple Output (MIMO) systems. To effectively recover input signals, remove Inter-Symbol Interference (ISI)and suppress Inter-User Interference (IUI), the array input is first transformed into the signal subspace, thenwith the derived orthogonality between weight vectors of different input signals, a new orthogonal ConstantModulus Algorithm (CMA) is proposed. Computer simulation results illustrate the promising performance ofthe proposed method. Without channel identification, the proposed method can recover all the system inputssimultaneously and can be adaptive to channel changes without prior knowledge about signals.
机译:本文研究了多输入多输出(MIMO)系统的自适应盲源分离和均衡。为了有效地恢复输入信号,消除符号间干扰(ISI)并抑制用户间干扰(IUI),首先将阵列输入转换为信号子空间,然后使用推导的不同输入信号的权向量之间的正交性,建立新的正交提出了ConstantModulus算法(CMA)。计算机仿真结果表明了该方法的良好前景。在没有信道识别的情况下,所提出的方法可以同时恢复所有系统输入,并且可以适应信道变化而无需事先了解信号。

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