A novel kurtosis driven variable step-size adaptive algorithm

被引：74

作者：

Pazaitis, DI ^{[1
]}

Constantinides, AG

机构：

[1] IMEC, VSDM, Louvain, Belgium

[2] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, Signal Proc Sect, London, England

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 03期

关键词：

D O I：

10.1109/78.747793

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, a new variable step-size LMS filter is introduced. The time-varying step-size sequence is adjusted, utilizing the kurtosis of the estimation error, therefore reducing performance degradation due to the existence of strong noise. The convergence properties of the algorithm are analyzed, and an adaptive kurtosis estimator that takes into account noise statistics and optimally adapts itself is also presented. Simulation results confirm the algorithm's improved performance and flexibility.

引用

页码：864 / 872

页数：9

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