Oblique Projection and Sparse Reconstruction Based DOA Estimation of Hybrid Completely and Partially Polarized Signals with Arbitrary Polarimetric Arrays

被引:0
作者
Hou, Huijun [1 ,2 ]
Mao, Xingpeng [1 ,2 ]
机构
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] Sci & Technol Elect Informat Control Lab, Chengdu 610036, Sichuan, Peoples R China
来源
2017 IEEE 30TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2017年
基金
中国国家自然科学基金;
关键词
Direction of arrival (DOA) estimation; oblique projection; sparse reconstruction; partially polarized signals; ELECTROMAGNETIC VECTOR SENSORS; CROSS-DIPOLE ARRAY; ESTIMATING DIRECTIONS; OF-ARRIVAL; LOCALIZATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we address the direction-of-arrival (DOA) estimation problem of hybrid completely polarized (CP) and partially polarized (PP) source signals with arbitrary polarimetric arrays. Firstly, oblique projection filtering operators, which are insensitive to the state of polarization of signals, are used to separate potential source signals in the spatial domain. Secondly, the DOA estimates are obtained via identifying the spatially sparse structure of the sources with the separated signals. The analysis indicates that the proposed algorithm is applicable to DOA estimation of any hybrid CP and PP signals, and is independent of special polarimetric array configurations. Numerical simulation results verify the effectiveness of the proposed algorithm. Furthermore, it is shown that the proposed algorithm has distinct advantages over the comparing algorithms in terms of estimation accuracy or success probability.
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页数:4
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