Enhanced Low-Redundancy Restricted Array for Direction of Arrival Estimation

TL;DR

This paper introduces a new low-redundancy sensor array configuration with reduced mutual coupling, improving DOA estimation performance compared to existing arrays.

Contribution

It proposes a novel array design with a closed-form expression and multiple classes of low redundancy arrays, outperforming super nested and MISC arrays.

Findings

Significant reduction in redundancy ratio and mutual coupling.

Enhanced DOA estimation accuracy in simulations.

Array design outperforms known sparse arrays.

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.