Polynomial-Phase Signal Direction-Finding & Source-Tracking with an Acoustic Vector Sensor

TL;DR

This paper introduces a novel ESPRIT-based method for estimating the direction-of-arrival and tracking polynomial-phase signals using a single acoustic vector sensor, without prior knowledge of signal parameters.

Contribution

It presents a new algorithm that estimates polynomial-phase signals' directions and tracks them adaptively with a single sensor, eliminating the need for prior signal information.

Findings

Simulation results confirm the effectiveness of the proposed algorithms.

The method accurately estimates directions of polynomial-phase signals.

The tracking algorithm successfully follows signal variations over time.

Abstract

A new ESPRIT-based algorithm is proposed to estimate the direction-of-arrival of an arbitrary degree polynomial-phase signal with a single acoustic vector sensor. The proposed approach requires neither a priori knowledge of the polynomial-phase signal's coefficients nor a priori knowledge of the polynomial-phase signal's frequency-spectrum. A pre-processing technique is also proposed to incorporate the single-forgetting-factor algorithm and multiple-forgetting-factor adaptive tracking algorithm to track a polynomial-phase signal using one acoustic vector sensor. Simulation results verify the efficacy of the proposed direction finding and source tracking algorithms.