Estimation algorithm for sparse channels with gradient guided p-norm like constraints

The l<sub>0</sub>and l<sub>1</sub>norm constrained least mean square (LMS) algorithm can effectively improve the performance of the sparse channel estimation, but the convergence performance of such algorithms will considerably vary when the channel exhibits different sparisi...

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Bibliographic Details
Main Authors: Fei-yun WU, Yue-hai ZHOU, Feng TONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-07-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.021/
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