A Derivation of Identifiable Condition for Non-Uniform Linear Array DOA Estimation

TL;DR

This paper derives the identifiable condition for DOA estimation in non-uniform linear arrays, addressing phase ambiguity issues that occur in ULAs with larger sensor spacing, and proposing a solution through sensor configuration design.

Contribution

The paper presents a novel derivation of the identifiable condition for non-uniform linear array DOA estimation, extending beyond traditional ULAs.

Findings

Derived the identifiable condition for non-uniform linear array DOA estimation.

Addressed phase ambiguity issues in ULAs with sensor spacing greater than λ/2.

Provided guidelines for sensor configuration to improve DOA estimation accuracy.

Abstract

Phase ambiguity happens in uniform linear arrays (ULAs) when the sensor distance is greater than $\lambda/2$. This problem in direction of arrival (DOA) estimation and can be solved by designing a proper sensor configuration. In this work, we derive the identifiable condition for ULA DOA estimation.