Avoiding divergence in the constant modulus algorithm for blind equalization of MIMO systems

Flávio R. M. Pavan, Magno T. M. Silva, M. D. Miranda
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引用次数: 2

Abstract

The multiuser constant modulus algorithm (MU-CMA) can be employed for blind equalization of multiple-input multiple-output (MIMO) communication systems. Due to the multi-modality of the constant modulus cost function, some adverse situations can cause inconsistency in the nonlinear estimates, which in turn can lead the algorithm to diverge. In order to avoid divergence, we propose a dual-mode multiuser algorithm, which works as a normalized multimodulus version of MU-CMA in the first mode, and rejects nonlinear estimates in the second mode. We present a deterministic stability analysis of the proposed algorithm and confirm its good performance by means of numerical simulations.
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MIMO系统盲均衡常模算法中的避免发散
多用户恒模算法(MU-CMA)可用于多输入多输出通信系统的盲均衡。由于常模代价函数的多模性,某些不利情况会导致非线性估计不一致,从而导致算法发散。为了避免发散,我们提出了一种双模多用户算法,该算法在第一模式下作为MU-CMA的归一化多模版本,在第二模式下拒绝非线性估计。本文对该算法进行了确定性稳定性分析,并通过数值模拟验证了其良好的性能。
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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