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:
UGS
Online Access:http://www.mdpi.com/1424-8220/14/3/4384
Description
Summary: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.
ISSN:1424-8220