基于TLS-CS的外辐射源雷达超分辨DOA估计方法

doi:10.3969/j.issn.1001-506X.2020.01.09

Abstract

Abstract:

Focus on the problem of poor accuracy and low resolution acquired by the traditional super-resolution direction of arriving (DOA) estimation in the passive bistatic radar based on compressed sensing (CS) in the cases of the amplitude and phase errors in the array antenna, a super-resolution DOA estimation method based on total least squares (TLS)-CS in PBR is proposed. Firstly, the TLS signal model is solved by singular value decomposition (SVD) to calibrate the amplitude and phase errors. Then the sparse signal of targets is reconstructed by applying the greedy iterative pursuit sparse recovery algorithm of CS. Simulation results indicate that the proposed method can achieve a high super-resolution DOA estimation performance when there are amplitude and phase errors in the array antenna.

Key words: passive bistatic radar, direction of arriving (DOA), compressed sensing (CS), total least squares (TLS), amplitude and phase errors

CLC Number:

TN958.97

Luo ZUO, Jun WANG, Gang CHEN, Yaqi DENG, Yuanyuan WEN. Super-resolution DOA estimation method of passive bistatic radar based on TLS-CS[J]. Systems Engineering and Electronics, 2020, 42(1): 61-66.

Figures/Tables 6

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References 15

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研究对象	距离/m	多普勒/Hz	SNR/dB	方位/(°)
目标1	100	-50	-23	3
目标2	100	-50	-26	10
直达波	0	0	45	0
多径1	20	0	40	-10
多径2	40	0	35	0
多径3	60	0	30	20
多径4	80	0	25	35
多径5	100	0	20	40
多径6	120	0	15	50
多径7	140	0	10	60

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Super-resolution DOA estimation method of passive bistatic radar based on TLS-CS

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