A Robust DOA Estimation Method Based on Sparse Representation for Impulsive Noise Environments
WANG Peng1,2, 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
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.
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.
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. Acta Electronica Sinica, 2018, 46(7): 1537-1544.
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2018, Vol. 46 
