Variable Step‐Size Correntropy‐Based Affine Projection Algorithm with Compound Inverse Proportional Function for Sparse System Identification

• DOI: 10.1002/tee.23533
• Publication Date: 2021-12-01T05:39:16Z
• Authors: Biao Wang; Hanqiong Li; Chengxi Wu; Chen Xu; Mingliang Zhang
• Keywords: Impulse noise; Impulse response

Abstract In view of the poor performance traditional adaptive filtering algorithm in identifying sparse systems under impulse noise, an affine projection maximum correntropy criterion with compound inverse proportional function (APMCCCIPF) is proposed this paper, and approaching norm introduced into (APMCC) algorithm. The fixed step‐size APMCCCIPF cannot obtain faster convergence speed lower steady‐state error at same time, most effective method to solve contradiction change a variable step‐size. Further, factor constructed algorithm, novel proposed. A modified Gaussian function, which can resist noise interference, applied adjust change. Besides, complexity algorithms are analyzed. simulation system identification echo cancellation impulsive not only achieve rate, but also error. © 2021 Institute Electrical Engineers Japan. Published by Wiley Periodicals LLC.