ESM-BASED SOURCE LOCALIZATION USING THE IMAGE SOURCE METHOD (ISM) WITH AN OFFSET MICROPHONE ARRAY

Patel Shreyas; Sreeram Barathula; K. Srinivasan

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Submission

Paper Title

ESM-BASED SOURCE LOCALIZATION USING THE IMAGE SOURCE METHOD (ISM) WITH AN OFFSET MICROPHONE ARRAY

Authors

Patel Shreyas
Sreeram Barathula
K. Srinivasan

Modality

Online Pre-recorded

Subject area

04.1. Advanced Vibro-Acoustic Control

Publishing Date

18/08/2025

Country of Publishing

Brazil | Brasil

Language of Publishing

Inglês

Paper Page

https://www.even3.com.br/anais/international-congress-exposition-noise-control-engineering/1074352-esm-based-source-localization-using-the-image-source-method-(ism)-with-an-offset-microphone-array

ISBN

978-65-272-1573-8

Keywords

Near-field acoustic holography, Equivalent source method, Inverse problem, Image source method

Summary

Sound source localization is essential for tracking sound origins in structural monitoring, speech recognition and industrial diagnostics. The equivalent source method (ESM) is a near-field acoustic holography (NAH) based sound source localization technique. ESM follows the principle of wave superposition. Conventionally, the sound field from the sources is simulated using Finite element method (FEM) and Boundary element method (BEM) based software to understand the ESM performance. These methods are computationally costly. This study utilized image source method (ISM) simulations to analyze the ESM-based source localization and improve computational performance. Source localization was performed at different Gaussian noise levels using regularization techniques such as pseudo inverse, ridge, lasso regression and iterative reweighted least square (IRLS) to address the ill-posed nature of these problems. Additionally, the microphone array is offset with the equivalent source plane to check the robustness of the method. The results show that source localization is accurate with an offset microphone array using sparsity and non-sparsity-based regularization techniques, even up to 30% Gaussian noise. These findings show that the ISM-based simulations provide crucial insight into analyzing low-frequency source localization.

Title of the Event: Inter-Noise 2025
City of the Event: São Paulo
Title of the Proceedings of the event: Proceedings of the 54th International Congress and Exposition on Noise Control Engineering
Name of the Publisher: Even3
Means of Dissemination: Meio Digital

How to cite

SHREYAS, Patel; BARATHULA, Sreeram; SRINIVASAN, K.. ESM-BASED SOURCE LOCALIZATION USING THE IMAGE SOURCE METHOD (ISM) WITH AN OFFSET MICROPHONE ARRAY.. In: Proceedings of the 54th International Congress and Exposition on Noise Control Engineering. Anais...Sao Paulo(SP) WTC Events Center, 2025. Available in: https//www.even3.com.br/anais/international-congress-exposition-noise-control-engineering/1074352-ESM-BASED-SOURCE-LOCALIZATION-USING-THE-IMAGE-SOURCE-METHOD-(ISM)-WITH-AN-OFFSET-MICROPHONE-ARRAY. Access in: 30/08/2025