Sound localization using compressive sensing

TL;DR

This paper introduces a novel sound localization method in sensor networks that uses compressive sensing to accurately determine sound source positions with fewer data transmissions, reducing bandwidth requirements.

Contribution

It proposes a new approach leveraging compressive sensing for sound localization, enabling accurate source detection with less data than traditional methods.

Findings

Accurate sound localization achieved with fewer measurements.

Reduces data transmission in sensor networks.

Demonstrates effectiveness of compressive sensing in acoustic applications.

Abstract

In a sensor network with remote sensor devices, it is important to have a method that can accurately localize a sound event with a small amount of data transmitted from the sensors. In this paper, we propose a novel method for localization of a sound source using compressive sensing. Instead of sampling a large amount of data at the Nyquist sampling rate in time domain, the acoustic sensors take compressive measurements integrated in time. The compressive measurements can be used to accurately compute the location of a sound source.