Adjoint-Based Identification of Sound Sources for Sound Reinforcement and Source Localization

TL;DR

This paper introduces an adjoint-based computational method for identifying and localizing sound sources, demonstrating its effectiveness in optimizing sound reinforcement and tracking moving sources in acoustics.

Contribution

It presents a novel adjoint-based approach utilizing aeroacoustic techniques for sound source identification and localization, applicable to both static and moving sources.

Findings

Effective source localization demonstrated in proof-of-concept applications

Optimized sound reinforcement setup achieved using the proposed method

Method applicable to moving and stationary sound sources

Abstract

The identification of sound sources is a common problem in acoustics. Different parameters are sought, among these are signal and position of the sources. We present an adjoint-based approach for sound source identification, which employs computational aeroacoustic techniques. Two different applications are presented as a proof-of-concept: optimization of a sound reinforcement setup and the localization of (moving) sound sources.