Improved efficient proportionate affine projection algorithm based on l0-norm for sparse system identification

被引：2
|
作者：
Zhao, Haiquan [1 ]
Yi Yu [1 ]
机构：
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
来源：
JOURNAL OF ENGINEERING-JOE | 2014年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1049/joe.2013.0129
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A new improved memorised improved proportionate affine projection algorithm (IMIPAPA) is proposed to improve the convergence performance of sparse system identification, which incorporates l0-norm as a measure of sparseness into a recently proposed MIPAPA algorithm. In addition, a simplified implementation of the IMIPAPA (SIMIPAPA) with low-computational burden is presented while maintaining the consistent convergence performance. The simulation results demonstrate that the IMIPAPA and SIMIPAPA algorithms outperform the MIPAPA algorithm for sparse system identification.
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收藏
页数：4
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