| 脉冲噪声下基于稀疏表示的韧性DOA估计方法 |
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| 引用本文： | 王鹏,邱天爽,金芳晓,夏楠,李景春.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. |
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| 作者姓名： | 王鹏 邱天爽 金芳晓 夏楠 李景春 |
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| 作者单位： | 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 |
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| 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.
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| 关 键 词： | 波达方向估计 脉冲噪声 稀疏表示 相关熵 |
| 收稿时间： | 2016-01-06 |
A Robust DOA Estimation Method Based on Sparse Representation for Impulsive Noise Environments |
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| WANG Peng,QIU Tian-shuang,JIN Fang-xiao,XIA Nan,LI Jing-chun.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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| Authors: | WANG Peng QIU Tian-shuang JIN Fang-xiao XIA Nan LI Jing-chun |
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| Affiliation: | 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 |
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| 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. |
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| Keywords: | DOA estimation impulsive noise sparse representation correntropy |
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