Open AccessModified memory‐improved proportionate affine projection sign algorithm based on correntropy induced metric for sparse system identification
Author(s) -
Zhao Ji,
Zhang Hongbin,
Wang Gang,
Liao Xiaofeng
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.3479
Subject(s) - metric (unit) , identification (biology) , algorithm , convergence (economics) , affine transformation , projection (relational algebra) , computer science , sign (mathematics) , system identification , mathematics , engineering , data mining , measure (data warehouse) , pure mathematics , biology , economics , economic growth , mathematical analysis , operations management , botany
A novel memory‐improved proportionate affine projection sign algorithm with correntropy induced metric (CIM‐MIP‐APSA) is proposed to enhance the filtering performance for sparse system identification. Furthermore, a simplified implementation of the CIM‐MIP‐APSA (SCIM‐MIP‐APSA) with low computational complexity is proposed while improving the convergence performance and filtering accuracy. Simulation results demonstrate that the CIM‐MIP‐APSA and SCIM‐MIP‐APSA algorithms outperform the existing works for sparse system identification.