Coded Cover for Acoustic Vector Sensors

This study delves into the application of a coded cover to enhance the performance of an acoustic vector sensor (AVS) for sound source localization. A cover consisting of equally spaced channels of varying lengths, positioned above the AVS sensor, is investigated. In this setup, each channel operates independently, and their combined acoustic outputs are analyzed upon reaching the AVS. Interestingly, the entering points of the different channels can be viewed as a virtual uniform linear array (ULA), allowing the application of compressed sensing analysis methods. More specifically, a compressive covariance sensing (CCS) method is applied, which exhibits the potential to expand the number of detectable sound sources using a single AVS.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1109/ieeeconf60004.2024.10942950
Citations
2
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.69
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article

Coded Cover for Acoustic Vector Sensors

Chenyang Yan, Daniel Fernández Comesaña, Geert Leus
2 citations
Target Tracking and Data Fusion in Sensor Networks
0.69
article

Coded Cover for Acoustic Vector Sensors

Chenyang Yan, Daniel Fernández Comesaña, Geert Leus
article en
2 citations

Abstract

This study delves into the application of a coded cover to enhance the performance of an acoustic vector sensor (AVS) for sound source localization. A cover consisting of equally spaced channels of varying lengths, positioned above the AVS sensor, is investigated. In this setup, each channel operates independently, and their combined acoustic outputs are analyzed upon reaching the AVS. Interestingly, the entering points of the different channels can be viewed as a virtual uniform linear array (ULA), allowing the application of compressed sensing analysis methods. More specifically, a compressive covariance sensing (CCS) method is applied, which exhibits the potential to expand the number of detectable sound sources using a single AVS.

Microflown Technologies (Netherlands) (NL), KTH Royal Institute of Technology (SE), Delft University of Technology (NL)
Openalex Percentile: Top 22%
Target Tracking and Data Fusion in Sensor Networks
0.69
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Coded Cover for Acoustic Vector Sensors — Chenyang Yan, Daniel Fernández Comesaña, et al. · (2024) | TGRS Research Map | TGRS