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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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Published in:Sensors (Basel, Switzerland) Switzerland), 2014-03, Vol.14 (3), p.4384-4398
Main Authors: Zhang, Xin, Huang, Jingchang, Song, Enliang, Liu, Huawei, Li, Baoqing, Yuan, Xiaobing
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cited_by cdi_FETCH-LOGICAL-c608t-d157a6b26990c70e0c899568aaf521cffc2257aebc5fbe222d1ffb277cdfe2dd3
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creator Zhang, Xin
Huang, Jingchang
Song, Enliang
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Li, Baoqing
Yuan, Xiaobing
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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subjects Accuracy
Acoustics
Algorithms
Arrays
Computer Systems
Design
Direction finding
Equipment Design
MEMS microphone array
Methods
Micro-Electrical-Mechanical Systems - instrumentation
Microphones
Motor Vehicles
Movement
Musical performances
Noise
Outdoor
Outdoors
Real time
Sensors
Signal processing
Signal Processing, Computer-Assisted
small aperture arrays
Software
system design
Systems design
Time Factors
UGS
User-Computer Interface
Vehicles
title Design of small MEMS microphone array systems for direction finding of outdoors moving vehicles
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