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Enhanced Low-Redundancy Restricted Array for Direction of Arrival Estimation

Authors :
Zhang, Shidong
Zhou, Zhengchun
Cui, Guolong
Tang, Xiaohu
Fan, Pingzhi
Publication Year :
2022

Abstract

Sensor arrays play a significant role in direction of arrival (DOA) estimation. Specifically, arrays with low redundancy and reduced mutual coupling are desirable. In this paper, we investigate a sensor array configuration that has a restricted sensor spacing and propose a closed-form expression. We also propose several classes of low redundancy (LR) arrays. Interestingly, compared with super nested arrays (SNA) and maximum inter-element spacing constraint (MISC) arrays, one of the proposed arrays has a significant reduction in both redundancy ratio and mutual coupling. Numerical simulations are also conducted to verify the superiority of the proposed array over the known sparse arrays in terms of weight functions, mutual coupling matrices as well and DOA estimation performance.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2208.05263
Document Type :
Working Paper