Zero-attracting Affine Projection M-estimate Algorithm for Sparse System Identification in Impulsive Interference

被引：0
|
作者：
Chen, Yi [1 ]
Xie, Jinfeng [1 ]
机构：
[1] China Acad Informat & Commun Technol, Chongqing Acad Informat & Commun Technol, West Inst, Sci & Technol Cooperat Dept, Chongqing, Peoples R China
来源：
ELEVENTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS | 2019年 / 11384卷
关键词：
Affine Projection Algorithm; M-estimate; sparse system identification; impulsive interference;
D O I：
10.1117/12.2559256
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Proposed is a novel affine projection algorithm (APA) based on the M-estimate objective function with L-0 norm constraint. APA degenerates severely in impulsive interference and has no advantage for sparse system identification. In this letter, we use an M-estimate objective function to improve the robustness of the APA against impulsive interference, and a L-0 norm cost to improve the convergence rate for a sparse system. Simulation results show that the proposed algorithm outperform traditional algorithms in sparse system identification experiments that include correlated input and impulsive interference.
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页数：5
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