A Robust Recursive Least Square Algorithm against Impulsive Noise

Seong-Joon BAEK  Jinyoung KIM  Dae-Jin KIM  Dong-Soo HAR  Kiseon KIM  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E87-A   No.9   pp.2463-2465
Publication Date: 2004/09/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
M-estimation,  robust adaptive algorithm,  

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Summary: 
In this paper, we propose a robust adaptive algorithm for impulsive noise suppression. The perturbation of the input signal as well as the perturbation of the estimation error are restricted by M-estimation. The threshold used in M-estimation is obtained from the proposed adaptive variance estimation. Simulations show that the proposed algorithm is less vulnerable to the impulsive noise than the conventional algorithm.