Two-level Clustering-based Target Detection Through Sensor Deployment and Data Fusion

Conference · Sun Jul 01 00:00:00 EDT 2018

OSTI ID:1468111

Rao, Nageswara  ^[1]; Wu, Chase Qishi ^[2]; Liu, Wuji ^[2]; Sen, Satyabrata  ^[1]; Brooks, Richard R. ^[3]; Cordone, Guthrie ^[4]

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1. ORNL
2. New Jersey Institute of Technology
3. Clemson University
4. Clemson University, SC

Target detection is one fundamental problem in many sensor network-based applications, which is typically tackled in two separate stages for sensor deployment and data fusion. We propose an integrated solution, referred to as 2C-SSEM,which combines 2-level clustering-based sensor deployment and source strength estimate map-based data fusion for the detection of a single static or moving target. 2C-SSEM conducts the first level of clustering to determine a sensor deployment scheme and the second level of clustering to divide the deployed sensors into several subsets. For each sensor, the source strength is estimated at each grid point of the entire region based on a signal attenuation model, and for each subset of sensors, the target location is estimated using a distribution map-based statistical analysis method. A final detection decision is made by thresholding the clustering degree of the target location estimates computed by all subsets of sensors. Compared with traditional grid-based target detection methods, 2C-SSEM significantly reduces the computation complexity and improves the detection performance through an integrated optimization strategy. Extensive simulation results show the performance superiority of the proposed solution over several well-known methods for target detection.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1468111
• Resource Relation: Conference: Proceedings of 21st International Conference on Information Fusion - Cambridge, , United Kingdom - 7/10/2018 4:00:00 AM-7/13/2018 4:00:00 AM
• Country of Publication: United States
• Language: English