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平方根变步长lp范数LMS算法的稀疏系统辨识
周其玉,张爱华,曹文周,张瑞哲
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(1.中原工学院电子信息学院，郑州 450007;2.电子科技大学信息与通信工程学院，成都 611731;3.郑州大学信息工程学院，郑州 450001)

摘要:

针对稀疏未知系统的辨识问题，提出了一种基于p(0

关键词: 稀疏系统辨识变步长；最小均方算法；p范数惩罚

DOI：

基金项目:国家自然科学基金资助项目（61501530）；河南省高等学校重点科研项目（16A510012）；河南省高校科技创新团队支持计划(18IRTSTHN013)

A square root variable step-size lp norm LMS algorithm for sparse system identification

ZHOU Qiyu,ZHANG Aihua,CAO Wenzhou,ZHANG Ruizhe

(1.School of Electronic and Information Engineering,Zhongyuan University of Technology,Zhengzhou 450007，China;2.School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;3.School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China)

Abstract:

In order to improve the performance of sparse adaptive filtering(SAF)algorithms for system identification when the system is sparse,a new square root variable step-size p(0

Key words: sparse system identification variable step-size least mean square p norm penalty