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首页> 外文期刊>IEE proceedings, Part K. Vision, image and signal processing >Steady-state mean-square error analysis of the cross-correlation and constant modulus algorithm in a MIMO convolutive system
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Steady-state mean-square error analysis of the cross-correlation and constant modulus algorithm in a MIMO convolutive system

机译:MIMO卷积系统中互相关和恒模算法的稳态均方误差分析

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摘要

The cross-correlation and constant modulus algorithm (CC-CMA) has been proven to be an effective approach in the problem of joint blind equalisation and source separation in a multi-input and multi-output system. In the paper, the steady-state mean-square error performance of CC-CMA in a noise-free environment is studied, and a new expression is derived based on the energy preservation approach of Mai and Sayed (2000). Simulation studies are undertaken to support the analysis.
机译:互相关和恒模算法(CC-CMA)已被证明是解决多输入多输出系统中联合盲均衡和源分离问题的有效方法。本文研究了CC-CMA在无噪声环境下的稳态均方误差性能,并根据Mai and Sayed(2000)的节能方法推导了新的表达式。进行模拟研究以支持分析。

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