Multiple Signal DoA Estimation with Unknown Electromagnetic Coupling using Gaussian Process

被引:0
|
作者
Wang, Qifeng [1 ]
Buris, Nicholas E. [1 ]
Hu, Xiaolin [1 ]
机构
[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China
来源
2020 IEEE ASIA-PACIFIC MICROWAVE CONFERENCE (APMC) | 2020年
关键词
direction of arrival; electromagnetic coupling; Gaussian process regression; polynomial root finding;
D O I
10.1109/APMC47863.2020.9331546
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we employ a Gaussian Process Regression method based on the Polynomial Root Finding technique (PRF-GPR) to address the Direction of arrival (DoA) problem. Arrays whose electromagnetic coupling is taken into account in an exact way are employed in our DoA studies here. The Search-free DoA estimation algorithm is modified to accommodate the exact coupling with this learning-based method, PRF-GPR, which is capable of estimating DoA when multiple signals arrive at a receiver array with unknown electromagnetic coupling in its elements. Simulations are provided to verify the effectiveness of the proposed method.
引用
收藏
页码:440 / 442
页数:3
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