Virtualized Microphone Array for Moving Sources Mapping

The acoustic analysis of a moving object, such as in pass-by or fly-over tests, is a very important and demanding issue. These types of analyses make it possible to characterize the machine in quite realistic conditions, but the typical difficulties related to source localization and characterization are usually exacerbated by the need to take into consideration and to compensate for the object movement. In this paper, a technique based on acoustic beamforming is proposed, which is applicable to all those cases where the object under investigation is moving. In the proposed technique, the object's movement is not regarded as a problem but as a resource, enabling a virtual increase in the number of microphone acquisitions. For a stationary acoustic emission from a moving object, each time segment of the acquired signal is treated as if it is coming from a microphone (virtual) positioned differently relative to the object's reference system. This paper describes the technique and presents examples of results obtained from both simulated and real signals. Performance analysis is conducted and discussed in detail.

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Publication Details

Journal
Sensors
Published
2025-01-09
DOI
https://doi.org/10.3390/s25020362
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

Virtualized Microphone Array for Moving Sources Mapping

Francesca Sopranzetti, Paolo Castellini, Alessia Caputo
Sensors
Speech and Audio Processing
article

Virtualized Microphone Array for Moving Sources Mapping

Francesca Sopranzetti, Paolo Castellini, Alessia Caputo
article en

Abstract

The acoustic analysis of a moving object, such as in pass-by or fly-over tests, is a very important and demanding issue. These types of analyses make it possible to characterize the machine in quite realistic conditions, but the typical difficulties related to source localization and characterization are usually exacerbated by the need to take into consideration and to compensate for the object movement. In this paper, a technique based on acoustic beamforming is proposed, which is applicable to all those cases where the object under investigation is moving. In the proposed technique, the object's movement is not regarded as a problem but as a resource, enabling a virtual increase in the number of microphone acquisitions. For a stationary acoustic emission from a moving object, each time segment of the acquired signal is treated as if it is coming from a microphone (virtual) positioned differently relative to the object's reference system. This paper describes the technique and presents examples of results obtained from both simulated and real signals. Performance analysis is conducted and discussed in detail.

SensorsVol. 25(2)
Marche Polytechnic University (IT)
Openalex Percentile: Top 100%
Speech and Audio Processing
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