首页|Direction-of-arrival estimation for co-located multiple-input multiple-output radar using structural sparsity Bayesian learning

Direction-of-arrival estimation for co-located multiple-input multiple-output radar using structural sparsity Bayesian learning

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This paper addresses the direction of arrival (DOA) estimation problem for the co-located multiple-input multiple-output (MIMO) radar with random arrays. The spatially distributed sparsity of the targets in the background makes com-pressive sensing (CS) desirable for DOA estimation. A spatial CS framework is presented, which links the DOA estimation problem to support recovery from a known over-complete dictionary. A modified statistical model is developed to ac-curately represent the intra-block correlation of the received signal. A structural sparsity Bayesian learning algorithm is proposed for the sparse recovery problem. The proposed algorithm, which exploits intra-signal correlation, is capable being applied to limited data support and low signal-to-noise ratio (SNR) scene. Furthermore, the proposed algorithm has less computation load compared to the classical Bayesian algorithm. Simulation results show that the proposed algorithm has a more accurate DOA estimation than the traditional multiple signal classification (MUSIC) algorithm and other CS recovery algorithms.

multiple-input multiple-output radarrandom arraysdirection of arrival estimationsparse Bayesian learning

文方青、张弓、贲德

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College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaFunding for Outstanding Doctoral Dissertation in Nanjing University of Aeronautics and Astronautics, ChinaFunding of Innovation Program for Graduate Education of Jiangsu Province, ChinaFundamental Research Funds for the Central Universities, ChinaPriority Academic Program Development of Jiangsu Higher Education Institutions China

610711636127132761471191BCXJ14-08KYLX 02773082015NP2015504PADA

2015

10.1088/1674-1056/24/11/110201

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDCSCDSCIEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2015.(11)
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