Variable Regularization Affine Projection Sign Algorithm in Impulsive Noisy Environment

Ying-Ren CHIEN  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E102-A   No.5   pp.725-728
Publication Date: 2019/05/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E102.A.725
Type of Manuscript: LETTER
Category: Digital Signal Processing
affine projection sign algorithm (APSA),  impulsive noise (IN),  variable regularization (VR),  

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Affine projection sign algorithm (APSA) is an important adaptive filtering method to combat the impulsive noisy environment. However, the performance of APSA is poor, if its regularization parameter is not well chosen. We propose a variable regularization APSA (VR-APSA) approach, which adopts a gradient-based method to recursively reduce the norm of the a priori error vector. The resulting VR-APSA leverages the time correlation of both the input signal matrix and error vector to adjust the value of the regularization parameter. Simulation results confirm that our algorithm exhibits both fast convergence and small misadjustment properties.