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A Robust Recursive Least Square Algorithm against Impulsive Noise
Seong-Joon BAEK Jinyoung KIM Dae-Jin KIM Dong-Soo HAR Kiseon KIM
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2004/09/01
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
M-estimation, robust adaptive algorithm,
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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.