A Polynomial Zero Attracting Affine Projection Algorithm for Sparse System Identification

被引：2
|
作者：
Li, Pengfei [1 ,2 ,3 ]
Zhao, Haiquan [1 ,2 ]
机构：
[1] Southwest Jiaotong Univ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Minist Educ, Chengdu 610031, Sichuan, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
[3] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Sichuan, Peoples R China
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 24期
基金：
美国国家科学基金会;
关键词：
sparse system identification; affine projection algorithm; polynomial; zero attracting;
D O I：
10.1016/j.ifacol.2019.12.427
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A polynomial zero attracting affine projection algorithm is prosed in this work for sparse system identification. The existing zero attracting algorithms based on affine projection algorithm for sparse system identification, consider an objective function which is a combination of an l(2)-norm and an approximation of l(0)-norm. The difference between these algorithms is the approximation of the l(0)-norm. In order to further improve the zero attraction capability of sparse adaptive algorithms based on affine projection algorithm, a polynomial is used to approximate the l(0)-norm. Simulation results verify that the proposed algorithm is effective for sparse system identification.
引用
收藏
页码：308 / 311
页数：4
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