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Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array

Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is propose...

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Autores principales: Kan, Yue, Wang, Pengfei, Zha, Fusheng, Li, Mantian, Gao, Wa, Song, Baoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507621/
https://www.ncbi.nlm.nih.gov/pubmed/26057042
http://dx.doi.org/10.3390/s150613326
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author Kan, Yue
Wang, Pengfei
Zha, Fusheng
Li, Mantian
Gao, Wa
Song, Baoyu
author_facet Kan, Yue
Wang, Pengfei
Zha, Fusheng
Li, Mantian
Gao, Wa
Song, Baoyu
author_sort Kan, Yue
collection PubMed
description Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.
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spelling pubmed-45076212015-07-22 Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array Kan, Yue Wang, Pengfei Zha, Fusheng Li, Mantian Gao, Wa Song, Baoyu Sensors (Basel) Article Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable. MDPI 2015-06-05 /pmc/articles/PMC4507621/ /pubmed/26057042 http://dx.doi.org/10.3390/s150613326 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kan, Yue
Wang, Pengfei
Zha, Fusheng
Li, Mantian
Gao, Wa
Song, Baoyu
Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array
title Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array
title_full Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array
title_fullStr Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array
title_full_unstemmed Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array
title_short Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array
title_sort passive acoustic source localization at a low sampling rate based on a five-element cross microphone array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507621/
https://www.ncbi.nlm.nih.gov/pubmed/26057042
http://dx.doi.org/10.3390/s150613326
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