Generalized Thinned Coprime Array for DOA Estimation
Junpeng Shi, Yongxiang Liu, Fangqing Wen, Zhen Liu, Panhe Hu, Zhenghui Gong
Abstract
Owing to the large degrees of freedom and reduced mutual coupling by producing difference coarrays, nonuniform linear arrays have aroused great interest in direction of arrival (DOA) estimation. Previous works have presented some new sparse arrays, such as the thinned coprime array. In this paper, we propose a generalized thinned coprime array by introducing the flexible inter-element spacings, where the conventional one can be seen as a special case. We derive closedform expression for the range of consecutive lags, written as the functions of the antenna numbers and inter-element spacings. We show that, after optimization, the proposed array can achieve more consecutive lags than the other coprime arrays. In particular, the optimized results also provide the minimum number of antenna pairs with small separation. Simulation results demonstrate the superiority of the proposed GTCA using the subspace-based method.
BibTeX
@inproceedings{icassp2021_generalizedthinn,
title = {Generalized Thinned Coprime Array for DOA Estimation},
author = {Junpeng Shi and Yongxiang Liu and Fangqing Wen and Zhen Liu and Panhe Hu and Zhenghui Gong},
booktitle = {ICASSP 2021},
year = {2021}
}