Noise Mitigation for Target Tracking in Wireless Acoustic Sensor Networks

In wireless sensor network (WSN) environments, environmental noises are generated by, for example, small passing animals, crickets chirping or foliage blowing and will interfere target detection if the noises are higher than the sensor threshold value. For accurate tracking by acoustic WSNs, these e...

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Bibliographic Details
Published in:KSII transactions on Internet and information systems 2013-05, Vol.7 (5), p.1166-1179
Main Authors: Kim An, Youngwon, Yoo, Seong-Moo, An, Changhyuk, Wells, Earl
Format: Article
Language:Korean
Subjects:
binary sensor
Doppler effect
environmental noises
noise mitigation
tracking
Wireless sensor networks
Online Access:Get full text
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Summary:In wireless sensor network (WSN) environments, environmental noises are generated by, for example, small passing animals, crickets chirping or foliage blowing and will interfere target detection if the noises are higher than the sensor threshold value. For accurate tracking by acoustic WSNs, these environmental noises should be filtered out before initiating track. This paper presents the effect of environmental noises on target tracking and proposes a new algorithm for the noise mitigation in acoustic WSNs. We find that our noise mitigation algorithm works well even for targets with sensing range shorter than the sensor separation as well as with longer sensing ranges. It is also found that noise duration at each sensor affects the performance of the algorithm. A detection algorithm is also presented to account for the Doppler effect which is an important consideration for tracking higher-speed ground targets. For tracking, we use the weighted sensor position centroid to represent the target position measurement and use the Kalman filter (KF) for tracking.
ISSN:1976-7277
1976-7277