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

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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Bibliographic Details
Main Authors: Xin Zhang, Jingchang Huang, Enliang Song, Huawei Liu, Baoqing Li, Xiaobing Yuan
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Sensors
Subjects:
direction finding
MEMS microphone array
small aperture arrays
system design
UGS
Online Access:http://www.mdpi.com/1424-8220/14/3/4384
id doaj-afba14975d704ffb8cff4410bc337122
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spelling doaj-afba14975d704ffb8cff4410bc3371222020-11-24T21:06:19ZengMDPI AGSensors1424-82202014-03-011434384439810.3390/s140304384s140304384Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving VehiclesXin Zhang0Jingchang Huang1Enliang Song2Huawei Liu3Baoqing Li4Xiaobing Yuan5Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaIn 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.http://www.mdpi.com/1424-8220/14/3/4384direction findingMEMS microphone arraysmall aperture arrayssystem designUGS
collection DOAJ
language English
format Article
sources DOAJ
author Xin Zhang
Jingchang Huang
Enliang Song
Huawei Liu
Baoqing Li
Xiaobing Yuan
spellingShingle Xin Zhang
Jingchang Huang
Enliang Song
Huawei Liu
Baoqing Li
Xiaobing Yuan
Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles
Sensors
direction finding
MEMS microphone array
small aperture arrays
system design
UGS
author_facet Xin Zhang
Jingchang Huang
Enliang Song
Huawei Liu
Baoqing Li
Xiaobing Yuan
author_sort Xin Zhang
title 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_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_sort design of small mems microphone array systems for direction finding of outdoors moving vehicles
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2014-03-01
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.
topic direction finding
MEMS microphone array
small aperture arrays
system design
UGS
url http://www.mdpi.com/1424-8220/14/3/4384
work_keys_str_mv AT xinzhang designofsmallmemsmicrophonearraysystemsfordirectionfindingofoutdoorsmovingvehicles
AT jingchanghuang designofsmallmemsmicrophonearraysystemsfordirectionfindingofoutdoorsmovingvehicles
AT enliangsong designofsmallmemsmicrophonearraysystemsfordirectionfindingofoutdoorsmovingvehicles
AT huaweiliu designofsmallmemsmicrophonearraysystemsfordirectionfindingofoutdoorsmovingvehicles
AT baoqingli designofsmallmemsmicrophonearraysystemsfordirectionfindingofoutdoorsmovingvehicles
AT xiaobingyuan designofsmallmemsmicrophonearraysystemsfordirectionfindingofoutdoorsmovingvehicles
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