Title
Real-time adaptation of decision thresholds in sensor networks for detection of moving targets
Abstract
This paper addresses real-time decision-making associated with acoustic measurements for online surveillance of undersea targets moving over a deployed sensor network. The underlying algorithm is built upon the principles of symbolic dynamic filtering for feature extraction and formal language theory for decision-making, where the decision threshold for target detection is estimated based on time series data collected from an ensemble of passive sonar sensors that cover the anticipated tracks of moving targets. Adaptation of the decision thresholds to the real-time sensor data is optimal in the sense of weighted linear least squares. The algorithm has been validated on a simulated sensor-network test-bed with time series data from an ensemble of target tracks.
Year
DOI
Venue
2011
10.1016/j.automatica.2010.10.031
Automatica
Keywords
Field
DocType
Tracking before detection,Symbolic time series analysis,Formal language construction
Time series,Control theory,Sensor array,Decision support system,Underwater acoustics,Filter (signal processing),Sonar,Feature extraction,Real-time computing,Artificial intelligence,Wireless sensor network,Mathematics
Journal
Volume
Issue
ISSN
47
1
0005-1098
Citations 
PageRank 
References 
5
0.50
6
Authors
5
Name
Order
Citations
PageRank
Kushal Mukherjee110512.83
Ray, A.2832184.32
Thomas A. Wettergren38512.11
Shalabh Gupta47420.63
Shashi Phoha520139.47