Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors

doi:10.3390/s23239422

IOCAS-IR

	Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors
	Jin, Xu 1; Wang, Xuhu 1,2; Hou, Yujun 1; Hao, Siyuan 3; Wang, Xinjie 1; Xu, Zhenhua 2; Zhang, Qunfei 4
	2023-12-01
发表期刊	SENSORS
卷号	23 期号:23 页码:17
通讯作者	Wang, Xuhu(wangxuhu@qut.edu.cn)
摘要	To reduce the influence of gain-phase errors and improve the performance of direction-of-arrival (DOA) estimation, a robust sparse Bayesian two-dimensional (2D) DOA estimation method with gain-phase errors is proposed for L-shaped sensor arrays. The proposed method introduces an auxiliary angle to transform the 2D DOA estimation problem into two 1D angle estimation problems. A sparse representation model with gain-phase errors is constructed using the diagonal element vector of the cross-correlation covariance matrix of two submatrices of the L-shaped sensor array. The expectation maximization algorithm derives unknown parameter expression, which is used for iterative operations to obtain off-grid and signal precision. Using these parameters, a new spatial spectral function is constructed to estimate the auxiliary angle. The obtained auxiliary angle is substituted into a sparse representation model with gain and phase errors, and then the sparse Bayesian learning method is used to estimate the elevation angle of the incident signal. Finally, according to the relationship of the three angles, the azimuth angle can be estimated. The simulation results show that the proposed method can effectively realize the automatic matching of the azimuth and elevation angles of the incident signal, and improves the accuracy of DOA estimation and angular resolution.
关键词	two-dimensional direction-of-arrival (2D DOA) gain-phase errors sparse signal reconstruction sparse Bayesian learning L-shaped array
DOI	10.3390/s23239422
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:001116504200001
出版者	MDPI
WOS关键词	DOA ESTIMATION ; CALIBRATION ; ARRAY
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/183999
专题	中国科学院海洋研究所
通讯作者	Wang, Xuhu
作者单位	1.Qingdao Univ Technol, Sch Informat & Control Engn, Qingdao 266520, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 3.Beijing Jiaotong Univ, Sch Software Engn, Beijing 100044, Peoples R China 4.Northwest Polytech Univ, Sch Marine Sci & Technol, Xian 710129, Peoples R China
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Jin, Xu,Wang, Xuhu,Hou, Yujun,et al. Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors[J]. SENSORS,2023,23(23):17.
APA	Jin, Xu.,Wang, Xuhu.,Hou, Yujun.,Hao, Siyuan.,Wang, Xinjie.,...&Zhang, Qunfei.(2023).Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors.SENSORS,23(23),17.
MLA	Jin, Xu,et al."Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors".SENSORS 23.23(2023):17.

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