Sparse channel estimation based on L1/2 regularization in OFDM systems

Wenlei Duan; Feng Li; Zhe Liu

doi:10.1109/ICTC.2014.6983177

Sparse channel estimation based on L_1/2 regularization in OFDM systems

Wenlei Duan
, Feng Li
, Zhe Liu

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper addresses the problem of sparse channel estimation in orthogonal frequency-division multiplexing (OFD-M) systems. A novel sparse channel estimatior using iterative half thresholding algorithm based on L_1/2 regularization is proposed. Compared with the traditional greedy pursuit and L₁ regularization, the merit of the new method is twofold. Firstly, the new method has robust capacity to combat the observation noise. Secondly, it can deeply exploits the sparsity of the channel to reduce the number of pilots and hence raises the spectral efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	International Conference on ICT Convergence
Publisher	IEEE Computer Society
Pages	442-445
Number of pages	4
ISBN (Electronic)	9781479967865
DOIs	https://doi.org/10.1109/ICTC.2014.6983177
State	Published - 11 Dec 2014
Event	5th International Conference on Information and Communication Technology Convergence, ICTC 2014 - Busan, Korea, Republic of Duration: 22 Oct 2014 → 24 Oct 2014

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	5th International Conference on Information and Communication Technology Convergence, ICTC 2014
Country/Territory	Korea, Republic of
City	Busan
Period	22/10/14 → 24/10/14

Access to Document

10.1109/ICTC.2014.6983177

Cite this

@inproceedings{74f3c05469c14f5ea06aba66642eaa6e,

title = "Sparse channel estimation based on L1/2 regularization in OFDM systems",

abstract = "This paper addresses the problem of sparse channel estimation in orthogonal frequency-division multiplexing (OFD-M) systems. A novel sparse channel estimatior using iterative half thresholding algorithm based on L1/2 regularization is proposed. Compared with the traditional greedy pursuit and L1 regularization, the merit of the new method is twofold. Firstly, the new method has robust capacity to combat the observation noise. Secondly, it can deeply exploits the sparsity of the channel to reduce the number of pilots and hence raises the spectral efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm.",

author = "Wenlei Duan and Feng Li and Zhe Liu",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 5th International Conference on Information and Communication Technology Convergence, ICTC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

month = dec,

day = "11",

doi = "10.1109/ICTC.2014.6983177",

language = "英语",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "442--445",

booktitle = "International Conference on ICT Convergence",

}

Duan, W, Li, F & Liu, Z 2014, Sparse channel estimation based on L_1/2 regularization in OFDM systems. in International Conference on ICT Convergence., 6983177, International Conference on ICT Convergence, IEEE Computer Society, pp. 442-445, 5th International Conference on Information and Communication Technology Convergence, ICTC 2014, Busan, Korea, Republic of, 22/10/14. https://doi.org/10.1109/ICTC.2014.6983177

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AU - Li, Feng

AU - Liu, Zhe

PY - 2014/12/11

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N2 - This paper addresses the problem of sparse channel estimation in orthogonal frequency-division multiplexing (OFD-M) systems. A novel sparse channel estimatior using iterative half thresholding algorithm based on L1/2 regularization is proposed. Compared with the traditional greedy pursuit and L1 regularization, the merit of the new method is twofold. Firstly, the new method has robust capacity to combat the observation noise. Secondly, it can deeply exploits the sparsity of the channel to reduce the number of pilots and hence raises the spectral efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm.

AB - This paper addresses the problem of sparse channel estimation in orthogonal frequency-division multiplexing (OFD-M) systems. A novel sparse channel estimatior using iterative half thresholding algorithm based on L1/2 regularization is proposed. Compared with the traditional greedy pursuit and L1 regularization, the merit of the new method is twofold. Firstly, the new method has robust capacity to combat the observation noise. Secondly, it can deeply exploits the sparsity of the channel to reduce the number of pilots and hence raises the spectral efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm.

UR - https://www.scopus.com/pages/publications/84920168230

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DO - 10.1109/ICTC.2014.6983177

M3 - 会议稿件

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T3 - International Conference on ICT Convergence

SP - 442

EP - 445

BT - International Conference on ICT Convergence

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