A robust correntropy based subspace tracking algorithm in impulsive noise environments

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• 作者：Jin-feng Zhang^a ; ^bAuthor Vitae ; Tian-shuang Qiu^b ; ^{qiutsh@dlut.edu.c}Author Vitae
• 关键词：Impulsive noise ; Maximum correntropy criterion ; Projection approximation subspace tracking ; Variable forgetting factor
• 刊名：Digital Signal Processing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：62
• 期：Complete
• 页码：168-175
• 全文大小：566 K
• 卷排序：62

文摘

We address the problem of robust subspace tracking under impulsive noise environments. We examine the inherent robustness to outliers of correntropy. We deduce the maximum correntropy criterion (MCC) based PAST algorithm. We develop the method of the measurement of subspace variations. We develop the technique of variable forgetting factors (VFF) for the MCC-PAST.