Volterra system identification under maximum correntropy criteria in impulsive environments

Abstract

Since the algorithms derived by maximum error correntropy criterion (MCC) can achieve better performance when the background noise containing non-Gaussian interference, it has been received increasing attention in recent decades. The maximum correntropy criterion is incorporated in second-order volterra (SOV) adaptive filtering in this paper. Then, a novel second-order volterra algorithm which is derived from maximum correntropy criteria is proposed, which is called MCC-SOV. Since using maximum correntropy criteria, the proposed algorithm can achieve better performance under impulsive environment.