中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors

文献类型:期刊论文

作者Jin, Xu4; Wang, Xuhu3,4; Hou, Yujun4; Hao, Siyuan2; Wang, Xinjie4; Xu, Zhenhua3; Zhang, Qunfei1
刊名SENSORS
出版日期2023-12-01
卷号23期号:23页码:17
关键词two-dimensional direction-of-arrival (2D DOA) gain-phase errors sparse signal reconstruction sparse Bayesian learning L-shaped array
DOI10.3390/s23239422
通讯作者Wang, Xuhu(wangxuhu@qut.edu.cn)
英文摘要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.
WOS关键词DOA ESTIMATION ; CALIBRATION ; ARRAY
资助项目National Natural Science Foundation of China
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
出版者MDPI
WOS记录号WOS:001116504200001
源URL[http://ir.qdio.ac.cn/handle/337002/183998]  
专题中国科学院海洋研究所
通讯作者Wang, Xuhu
作者单位1.Northwest Polytech Univ, Sch Marine Sci & Technol, Xian 710129, Peoples R China
2.Beijing Jiaotong Univ, Sch Software Engn, Beijing 100044, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
4.Qingdao Univ Technol, Sch Informat & Control Engn, Qingdao 266520, Peoples R China
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.

入库方式: OAI收割

来源:海洋研究所

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