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

delete2018-01-01
delete52
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OA
AI
Y
Yingsong Li *
Z
Zhengxiong Jiang
O
Omer Mohammed Omer Osman
韩
韩笑 (Xiao Han)
J
Jingwei Yin
DOI:10.1109/ACCESS.2018.2878310delete
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摘要

摘要

En 中文
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.
Keyword:
Cluster sparse signal
l( )(2)(,0)-norm
proportionate affine projection algorithm
sparse system identification

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

H
Harbin Engineering University
学者数:
1.9W
论文数: 1.3W
被引数: 1.3W
N
national space science center, cas
学者数:
650
论文数: 448
被引数: 0
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