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...

Full description

Saved in:
Bibliographic Details
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
Format: Article
Language:English
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
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
1424-8220
DOI:10.3390/s140304384