A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers
A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers
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DOI：
10.1109/78.815481
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
J. Mai;A. H. Sayed
中科院分区：
文献类型：
--
作者：
J. Mai;A. H. Sayed
本文提出了一种新的分析恒模算法(CMA)稳态性能的方法，该算法是目前最流行的自适应盲均衡算法之一。所提出的反馈方法的一个主要特征是，它省略了直接处理加权误差协方差矩阵的需要。在此基础上，推导了CMA2-2、CMA1-2、归一化CMA和一种新的具有较小偏差的归一化CMA算法的稳态均方误差的近似表达式。文中还对各种算法进行了比较，并给出了一些仿真结果。这些结论证实了CMA2-2的优越性能。
This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback approach is that it bypasses the need for working directly with the weight error covariance matrix. In so doing, approximate expressions for the steady-state mean-square error of several CM algorithms are derived, including CMA2-2, CMA1-2, normalized CMA, and a new normalized CMA variant with less bias. A comparison among the various algorithms is also performed, along with several simulation results. The conclusions confirm the superior performance of CMA2-2.