脉冲噪声下基于稀疏表示的韧性DOA估计方法

doi:10.3969/j.issn.0372-2112.2018.07.001

电子学报 ›› 2018, Vol. 46 ›› Issue (7): 1537-1544.DOI: 10.3969/j.issn.0372-2112.2018.07.001

• 学术论文 • 下一篇

脉冲噪声下基于稀疏表示的韧性DOA估计方法

王鹏^1,2, 邱天爽¹, 金芳晓¹, 夏楠³, 李景春³

1. 大连理工大学电子信息与电气工程学部, 辽宁大连 116024;
2. 中国电子科技集团公司第五十四研究所, 河北石家庄 050081;
3. 国家无线电监测中心, 北京 100037

收稿日期:2016-01-06 修回日期:2017-09-03 出版日期:2018-07-25
- 通讯作者:
- 邱天爽
- 作者简介:
- 王鹏,男.1989年1月出生,河北宁晋人.2016年毕业于大连理工大学,获得博士学位.现在中国电子科技集团公司第54研究所从事通信对抗、信号情报处理方面的研究工作.E-mail:wangpeng.0706@163.com;金芳晓,女.1990年生,辽宁沈阳人,大连理工大学博士生.研究方向:阵列信号处理、非高斯信号处理;夏楠,男.1983年5月生,山东牟平人,博士,现在国家无线电监测中心任职.研究方向:粒子滤波理论、无线电监测理论与应用;李景春,男.1966年生,河北宁晋人,博士,国家无线电监测中心副主任兼总工程师.研究方向:无线电监测理论与应用等.
- 基金资助:
- 国家自然科学基金 (No.61139001，No.61172108，No.81241059，No.61501301，No.61671105）

A Robust DOA Estimation Method Based on Sparse Representation for Impulsive Noise Environments

WANG Peng^1,2, QIU Tian-shuang¹, JIN Fang-xiao¹, XIA Nan³, LI Jing-chun³

1. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China;
2. The 54 th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, Hebei 050081, China;
3. State Radio Monitoring Center, Beijing 100037, China

Received:2016-01-06 Revised:2017-09-03 Online:2018-07-25 Published:2018-07-25
- Corresponding author:
- QIU Tian-shuang
- Supported by:
- National Natural Science Foundation of China (No.61139001, No.61172108, No.81241059, No.61501301, No.61671105)

摘要/Abstract

摘要： 受相关熵启发，本文提出了一种脉冲噪声下基于稀疏表示的韧性DOA估计新方法.为实现多测量向量下联合稀疏信号的重建，本文提出了一种基于归一化迭代硬阈值的优化算法，讨论了最优步长的选择问题，证明了优化算法的收敛性.仿真结果表明：本文算法能够实现脉冲噪声下多信源的DOA估计，具有比已有算法更高的可分辨概率和估计精度.

关键词: 波达方向估计, 脉冲噪声, 稀疏表示, 相关熵

Abstract: Inspired by the correntropy,a robust DOA (direction-of-arrival) method based on sparse representation for impulsive noise was proposed.To recover the joint-sparse signal from multiple measurement vectors,a normalized iterative hard thresholding based optimization algorithm was designed.The optimal step size of the algorithm was discussed and the convergence was proved.The simulation results demonstrate that the proposed method could realize the DOA estimation for multiple sources,and it is superior to existing methods in terms of success rate and estimation accuracy.

Key words: DOA estimation, impulsive noise, sparse representation, correntropy

中图分类号:

TN911.7

王鹏, 邱天爽, 金芳晓, 等. 脉冲噪声下基于稀疏表示的韧性DOA估计方法[J]. 电子学报, 2018, 46(7): 1537-1544.

WANG Peng, QIU Tian-shuang, JIN Fang-xiao, et al. A Robust DOA Estimation Method Based on Sparse Representation for Impulsive Noise Environments[J]. Acta Electronica Sinica, 2018, 46(7): 1537-1544.

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脉冲噪声下基于稀疏表示的韧性DOA估计方法

A Robust DOA Estimation Method Based on Sparse Representation for Impulsive Noise Environments

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