Robust Subband Adaptive Filtering against Impulsive Noise

Young-Seok CHOI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E98-D   No.10   pp.1879-1883
Publication Date: 2015/10/01
Publicized: 2015/06/26
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2015EDL8078
Type of Manuscript: LETTER
Category: Speech and Hearing
Keyword: 
subband adaptive filter,  L1-norm,  system identification,  robustness,  impulsive interference,  

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Summary: 
In this letter, a new subband adaptive filter (SAF) which is robust against impulsive noise in system identification is presented. To address the vulnerability of adaptive filters based on the L2-norm optimization criterion to impulsive noise, the robust SAF (R-SAF) comes from the L1-norm optimization criterion with a constraint on the energy of the weight update. Minimizing L1-norm of the a posteriori error in each subband with a constraint on minimum disturbance gives rise to robustness against impulsive noise and the capable convergence performance. Simulation results clearly demonstrate that the proposal, R-SAF, outperforms the classical adaptive filtering algorithms when impulsive noise as well as background noise exist.