An Annihilating Filter-Based DOA Estimation for Uniform Linear Array

TL;DR

This paper introduces a new annihilating filter-based method for DOA estimation in uniform linear arrays, demonstrating competitive accuracy and low complexity compared to the traditional MUSIC algorithm under various noise conditions.

Contribution

The paper presents a novel AF-based DOA estimation method and modifies the MUSIC algorithm for different noise environments, offering improved efficiency and accuracy.

Findings

The AF-based method achieves accurate DOA estimation with lower complexity.

Modified MUSIC algorithm adapts to different noise conditions effectively.

Experimental results show competitive accuracy in various noise scenarios.

Abstract

In this paper, we propose a new method to design an annihilating filter (AF) for direction-of-arrival (DOA) estimation of multiple snapshots within an uniform linear array. To evaluate the proposed method, we firstly design a DOA estimation using multiple signal classification (MUSIC) algorithm, referred to as the MUSIC baseline. We then compare the proposed method with the MUSIC baseline in two environmental noise conditions: Only white noise, or both white noise and diffusion. The experimental results highlight two main contributions; the first is to modify conventional MUSIC algorithm for adapting different noise conditions, and the second is to propose an AF-based method that shows competitive accuracy of arrival angles detected and low complexity compared with the MUSIC baseline.