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Sensors 2012, 12(2), 1336-1351; doi:10.3390/s120201336
Article

A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking

1,* , 1
, 2
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 and 3
1 Center for Large-Scale Integrated Optimization & Networks (CLION), FedEx Institute of Technology, University of Memphis, 365 Innovation Drive, Memphis, TN 38152, USA 2 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA 3 Computer Engineering Department, Istanbul Kultur University, E5 Atakoy Campus E5 Otoyolu Londra Asfalt, Bakrkoy, 34156 Istanbul, Turkey
* Author to whom correspondence should be addressed.
Received: 30 October 2011 / Revised: 10 January 2012 / Accepted: 10 January 2012 / Published: 31 January 2012
(This article belongs to the Special Issue Collaborative Sensors)
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Abstract

The feasibility of using Commercial Off-The-Shelf (COTS) sensor nodes is studied in a distributed network, aiming at dynamic surveillance and tracking of ground targets. Data acquisition by low-cost ( < $50 US) miniature low-power radar through a wireless mote is described. We demonstrate the detection, ranging and velocity estimation, classification and tracking capabilities of the mini-radar, and compare results to simulations and manual measurements. Furthermore, we supplement the radar output with other sensor modalities, such as acoustic and vibration sensors. This method provides innovative solutions for detecting, identifying, and tracking vehicles and dismounts over a wide area in noisy conditions. This study presents a step towards distributed intelligent decision support and demonstrates effectiveness of small cheap sensors, which can complement advanced technologies in certain real-life scenarios.
Keywords: Doppler radar; wireless sensor mote; autonomous sensor network; surveillance; tracking Doppler radar; wireless sensor mote; autonomous sensor network; surveillance; tracking
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Kozma, R.; Wang, L.; Iftekharuddin, K.; McCracken, E.; Khan, M.; Islam, K.; Bhurtel, S.R.; Demirer, R.M. A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking. Sensors 2012, 12, 1336-1351.

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