Tagungsband - DAGA 2024
Beitrag
Three-Dimensional Position Estimation of Sound Sources with Acoustical Beamforming
Zusammenfassung:
This paper is concerned with the three-dimensional position estimation and tracking of sound sources with microphone arrays and acoustical beamforming. The use of beamforming algorithms for mapping a sound field and estimating the position of sources has been already well discussed in the scientific literature. This process usually only includes direction estimation, but for the full three-dimensional position, distance also must be estimated.The position estimation is based on the Delay-and-Sum method, and it can be enhanced by using more advanced beamforming methods, such as Multiple Signal Classification (MUSIC). The distance estimation is performed by extending the traditional method into three dimensions. The Kalman-filter method can be used to extend this process, to give a more accurate estimation in the case of moving sound sources and unreliable data.Our goal is to evaluate these methods through simulations and measurement data from Unmanned Aerial Vehicles (UAVs). Preliminary experiments show that distance estimation gives a promising result during simple simulations, but it is unreliable during measurements. It must be developed further to consider unfavourable conditions, for example ground reflections and a temporally changing frequency spectrum of the source.