使用滤波- x LMS算法的鲁棒自适应均衡

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI:10.1109/ISSPA.1999.818201

Jiankun Hu, H. Wu

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引用次数: 3

摘要

当误差路径中存在传递函数时，滤波- x LMS算法是目前最流行的自适应滤波器设计方法。我们在通信信道的自适应均衡应用中引入并修正了这一概念。利用传统LMS算法和改进的滤波- x LMS算法对时变通信信道进行了均衡化实验。蒙特卡罗仿真结果表明，滤波后的- x具有比传统LMS更好的鲁棒性。

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Robust adaptive equalization using the filtered-X LMS algorithm

The filtered-X LMS algorithm is currently the most popular method for adaptive filter design when there exists a transfer function in the error path. We introduce and modify this concept in the application of adaptive equalization for communication channels. A computer experiment was conducted on the equalization of a time-varying communication channel using both conventional LMS and modified filtered-X LMS algorithms. Monte Carlo simulation results demonstrate that the filtered-X has a better robust performance than that of the conventional LMS.

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ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)

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