Recursive least mean square algorithm based on fourth-order statistics

Ran Tao*, Wei Qiang Zhang, Yong Feng Ma

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

An LMS algorithm based on one dimensional slice of fourth-order statistics is proposed and its recursive form is given. This algorithm can suppress the correlated Gaussian noise effectively, and its performance is better than the conventional autocorrelation-based LMS algorithm. The recursive form reduces the computational complexity, and it can meet the need of real-time processing. Simulation results are presented to demonstrate the effectiveness of this approach. The algorithm can be used to estimate multi-path coefficients in radar, sonar and communication systems.

源语言英语
页(从-至)442-445
页数4
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
24
5
出版状态已出版 - 5月 2004

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