Mixed Norm Constrained Sparse APA Algorithm for Satellite and Network Echo Channel Estimation

被引：53

作者：

Li, Yingsong ^{[1
,2
,3
]}

Jiang, Zhengxiong ^{[1
]}

Osman, Omer Mohammed Omer ^{[1
]}

Han, Xiao ^{[3
]}

Yin, Jingwei ^{[3
]}

机构：

[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China

[2] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China

[3] Harbin Engn Univ, Acoust Sci & Technol Lab, Harbin 150001, Heilongjiang, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

中国博士后科学基金;

关键词：

Cluster sparse signal; l( )(2)(; 0)-norm; proportionate affine projection algorithm; sparse system identification; PROPORTIONATE; NLMS;

D O I：

10.1109/ACCESS.2018.2878310

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose an improved proportionate affine projection algorithm (PAPA), which is realized by integrating a hybrid-norm constraint into the affine projection algorithm (APA) to estimate the cluster sparse signals that are happened in satellite and network echo channels. The proposed algorithm optimizes the hybrid l(2),(0)-norm of the filter coefficients, and the PAPA is a special case of the proposed method. Moreover, an enhanced PAPA is modified for the cluster sparse channel estimations. Various simulation experiments are performed to verify that the proposed algorithms are superior to the APA, PAPA, and related sparse algorithms with different input signals and various parameters.

引用

页码：65901 / 65908

页数：8

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