基于恒模误差准则的三种盲均衡算法的比较

Tracie A. Schirtzinger, Xiaohui Li, W. Jenkins
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引用次数: 25

摘要

本文提出了三种常模算法:快速拟牛顿CMA、变换域CMA和基于遗传搜索的CMA。通过计算机仿真对三种算法的性能进行了比较。结果表明,快速拟牛顿CMA和变换域CMA的收敛速度比基于LMS算法的常模算法快得多。这一事实表明,美白技术不仅是有用的,而且是必要的CMA。
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A comparison of three algorithms for blind equalization based on the constant modulus error criterion
Three constant modulus algorithms (CMA), the fast quasi-Newton CMA, the transform domain CMA, and the genetic search based CMA are proposed in this paper. The performances of these three algorithms are compared with each other via computer simulation. It is shown that the fast quasi-Newton CMA and the transform domain CMA achieve much faster convergence rate than the constant modulus algorithm based on the LMS algorithm. This fact shows that the whitening technique is not only useful but also necessary for the CMA.
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