Robust DOA Estimation via Sparse Signal Reconstruction With Impulsive Noise

被引:23
作者
Hu, Rui [1 ]
Fu, Yuli [1 ]
Chen, Zhen [1 ]
Xu, Junwei [1 ]
Tang, Jie [1 ]
机构
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
DOA; sparse signal reconstruction; impulsive noise; robustness; LOCALIZATION; LIKELIHOOD;
D O I
10.1109/LCOMM.2017.2675407
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter, direction of arrival (DOA) estimation is considered for an impulsive noise case. The original complex-valued measurement for DOA problem is expressed as an augmented real-valued measurement using the real and imaginary parts. To deal with the impulsive noises, a function approximation technique is used. For the real-valued model, a robust DOA estimation algorithm is proposed based on sparse signal reconstruction. Simulation is given to demonstrate the validity and superiority of our method.
引用
收藏
页码:1333 / 1336
页数:4
相关论文
共 18 条
[1]   Compressive sensing [J].
Baraniuk, Richard G. .
IEEE SIGNAL PROCESSING MAGAZINE, 2007, 24 (04) :118-+
[2]   Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance [J].
Blumensath, Thomas ;
Davies, Mike E. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2010, 4 (02) :298-309
[4]   An introduction to compressive sampling: A sensing/sampling paradigm that goes against the common knowledge in data acquisition [J].
Candes, Emmanuel J. ;
Wakin, Michael B. .
IEEE Signal Processing Magazine, 2008, 25 (02) :21-30
[5]   Robust Sampling and Reconstruction Methods for Sparse Signals in the Presence of Impulsive Noise [J].
Carrillo, Rafael E. ;
Barner, Kenneth E. ;
Aysal, Tuncer C. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2010, 4 (02) :392-408
[6]   Theoretical results on sparse representations of multiple-measurement vectors [J].
Chen, Jie ;
Huo, Xiaoming .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (12) :4634-4643
[7]   Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm [J].
Gorodnitsky, IF ;
Rao, BD .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1997, 45 (03) :600-616
[8]  
Grant M., 2014, CVX: MATLAB software for disciplined convex programming, version 2.0 beta
[9]   Convolutive blind source separation in the frequency domain based on sparse representation [J].
He, Zhaoshui ;
Xie, Shengli ;
Ding, Shuxue ;
Cichocki, Andrzej .
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2007, 15 (05) :1551-1563
[10]   Robust Sparse Signal Recovery in the Presence of the SαS Noise [J].
Hu, Rui ;
Fu, Yuli ;
Chen, Zhen ;
Xiang, Youjun ;
Rong, Rong .
IEEE SIGNAL PROCESSING LETTERS, 2016, 23 (11) :1687-1691