Modified LMS algorithm for unbiased impulse response estimation in nonstationary noise

被引：17

作者：

So, HC ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Tat Chee Ave, Kowloon, Peoples R China

来源：

ELECTRONICS LETTERS | 1999年 / 35卷 / 10期

关键词：

All Open Access; Green;

D O I：

10.1049/el:19990523

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 the presence of input interference, the Wiener solution for impulse response estimation is biased. It is proved that bias removal can be achieved by proper scaling of the optimal filter coefficients and a modified least mean squares (LMS) algorithm is then developed for accurate system identification in noise. Simulation results show that the proposed method outperforms two total least squares (TLS) based adaptive algorithms under nonstationary interference conditions.

引用

页码：791 / 792

页数：2

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