Work

Enhanced Low-Redundancy Restricted Array for Direction of Arrival Estimation

Year: 2024

Type: article

Abstract: Sensor arrays play a significant role in direction of arrival (DOA) estimation. Specifically, arrays with low redundancy (LR) and reduced mutual coupling are desirable. In this article, we investigate a sensor array configuration that has restricted sensor spacing and propose a closed-form expression. We also propose several classes of LR arrays. Interestingly, compared with super nested arrays (SNA) and maximum interelement spacing constraint (MISC) arrays, one of the proposed arrays $(4r)$-type I 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, uniform degrees of freedom, and DOA estimation performance.

Source: IEEE Transactions on Aerospace and Electronic Systems

DOI: 10.1109/taes.2024.3491713

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

Institutions: Southwest Jiaotong University, University of Electronic Science and Technology of China

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province

Awards: G1315233301, G2394140253, G2445578207