Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles

In this paper, a MEMS microphone array system scheme is proposed which implements real-time direction of arrival (DOA) estimation for moving vehicles. Wind noise is the primary source of unwanted noise on microphones outdoors. A multiple signal classification (MUSIC) algorithm is used in this paper...

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Detalles Bibliográficos
Autores principales: Zhang, Xin, Huang, Jingchang, Song, Enliang, Liu, Huawei, Li, Baoqing, Yuan, Xiaobing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003948/
https://www.ncbi.nlm.nih.gov/pubmed/24603636
http://dx.doi.org/10.3390/s140304384
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author Zhang, Xin
Huang, Jingchang
Song, Enliang
Liu, Huawei
Li, Baoqing
Yuan, Xiaobing
author_facet Zhang, Xin
Huang, Jingchang
Song, Enliang
Liu, Huawei
Li, Baoqing
Yuan, Xiaobing
author_sort Zhang, Xin
collection PubMed
description In this paper, a MEMS microphone array system scheme is proposed which implements real-time direction of arrival (DOA) estimation for moving vehicles. Wind noise is the primary source of unwanted noise on microphones outdoors. A multiple signal classification (MUSIC) algorithm is used in this paper for direction finding associated with spatial coherence to discriminate between the wind noise and the acoustic signals of a vehicle. The method is implemented in a SHARC DSP processor and the real-time estimated DOA is uploaded through Bluetooth or a UART module. Experimental results in different places show the validity of the system and the deviation is no bigger than 6° in the presence of wind noise.
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spelling pubmed-40039482014-04-29 Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles Zhang, Xin Huang, Jingchang Song, Enliang Liu, Huawei Li, Baoqing Yuan, Xiaobing Sensors (Basel) Article In this paper, a MEMS microphone array system scheme is proposed which implements real-time direction of arrival (DOA) estimation for moving vehicles. Wind noise is the primary source of unwanted noise on microphones outdoors. A multiple signal classification (MUSIC) algorithm is used in this paper for direction finding associated with spatial coherence to discriminate between the wind noise and the acoustic signals of a vehicle. The method is implemented in a SHARC DSP processor and the real-time estimated DOA is uploaded through Bluetooth or a UART module. Experimental results in different places show the validity of the system and the deviation is no bigger than 6° in the presence of wind noise. MDPI 2014-03-05 /pmc/articles/PMC4003948/ /pubmed/24603636 http://dx.doi.org/10.3390/s140304384 Text en © 2014 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/3.0/).
spellingShingle Article
Zhang, Xin
Huang, Jingchang
Song, Enliang
Liu, Huawei
Li, Baoqing
Yuan, Xiaobing
Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
title Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
title_full Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
title_fullStr Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
title_full_unstemmed Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
title_short Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
title_sort design of small mems microphone array systems for direction finding of outdoors moving vehicles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003948/
https://www.ncbi.nlm.nih.gov/pubmed/24603636
http://dx.doi.org/10.3390/s140304384
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