Target tracking via recursive Bayesian state estimation in radar networks

Xiang, Yijian; Akcakaya, Murat; Sen, Satyabrata; Erdogmus, Deniz; Nehorai, Arye

doi:10.1109/ACSSC.2017.8335475

Target tracking via recursive Bayesian state estimation in radar networks

Conference · Sun Oct 01 00:00:00 EDT 2017

DOI:https://doi.org/10.1109/ACSSC.2017.8335475· OSTI ID:1435261

Xiang, Yijian ^[1]; Akcakaya, Murat ^[2]; ^[3]; Erdogmus, Deniz ^[4]; Nehorai, Arye ^[1]

Washington University, St. Louis
University of Pittsburgh
ORNL
Northeastern University, Boston

Modern cognitive radar networks incorporating intelligent and cognitive support-modules can actively adjust the radar-target geometry and optimally select a subset of radars to track the target of interest. Based on the theories of dynamic graphical models (DGM) and recursive Bayesian state estimation (RBSE), we propose a framework for single target tracking in mobile and cooperative radar networks, jointly considering path planning and radar selection. We formulate the tracking procedure as two iterative steps: (i) solving a combinatorial problem based on the expected cross-entropy measure to select the optimal subset of radars and their locations, and (ii) tracking the target using RBSE technique. We simulate the proposed framework using an illustrative example in 2-D space and demonstrate the tracking performance.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1435261

Country of Publication:: United States

Language:: English

References (16)

Sensor Selection for Target Tracking in Wireless Sensor Networks With Uncertainty Cao, Nianxia; Choi, Sora; Masazade, Engin IEEE Transactions on Signal Processing, Vol. 64, Issue 20 https://doi.org/10.1109/TSP.2016.2595500	journal	October 2016
Optimization of observer trajectories for bearings-only target localization Oshman, Y.; Davidson, P. IEEE Transactions on Aerospace and Electronic Systems, Vol. 35, Issue 3 https://doi.org/10.1109/7.784059	journal	July 1999
Optimal sensor placement for Doppler shift target localization Nguyen, Ngoc Hung; Dogancay, Kutluyil 2015 IEEE Radar Conference (RadarCon) https://doi.org/10.1109/RADAR.2015.7131268	conference	May 2015
Sensor Management: Past, Present, and Future Hero, Alfred O.; Cochran, Douglas IEEE Sensors Journal, Vol. 11, Issue 12 https://doi.org/10.1109/JSEN.2011.2167964	journal	December 2011
Information-theoretic coordinated control of multiple sensor platforms Grocholsky, B.; Makarenko, A.; Durrant-Whyte, H. 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422) https://doi.org/10.1109/ROBOT.2003.1241807	conference	September 2003
Scheduling and Power Allocation in a Cognitive Radar Network for Multiple-Target Tracking Chavali, Phani; Nehorai, Arye IEEE Transactions on Signal Processing, Vol. 60, Issue 2 https://doi.org/10.1109/TSP.2011.2174989	journal	February 2012
Optimal Motion Strategies for Range-Only Constrained Multisensor Target Tracking No authors listed IEEE Transactions on Robotics, Vol. 24, Issue 5 https://doi.org/10.1109/TRO.2008.2004488	journal	October 2008
An Information Roadmap Method for Robotic Sensor Path Planning Zhang, G.; Ferrari, S.; Qian, M. Journal of Intelligent and Robotic Systems, Vol. 56, Issue 1-2 https://doi.org/10.1007/s10846-009-9318-x	journal	March 2009
Cognitive Radar Framework for Target Detection and Tracking Bell, Kristine L.; Baker, Christopher J.; Smith, Graeme E. IEEE Journal of Selected Topics in Signal Processing, Vol. 9, Issue 8 https://doi.org/10.1109/JSTSP.2015.2465304	journal	December 2015
Sensor Selection Based on Generalized Information Gain for Target Tracking in Large Sensor Networks Shen, Xiaojing; Varshney, Pramod K. IEEE Transactions on Signal Processing, Vol. 62, Issue 2 https://doi.org/10.1109/TSP.2013.2289881	journal	January 2014
Greedy sensor selection: Leveraging submodularity Shamaiah, Manohar; Banerjee, Siddhartha; Vikalo, Haris 2010 49th IEEE Conference on Decision and Control (CDC) https://doi.org/10.1109/CDC.2010.5717225	conference	December 2010
Bat-inspired adaptive design of waveform and trajectory for radar Hurtado, Martin; Nehorai, Arye 2008 42nd Asilomar Conference on Signals, Systems and Computers https://doi.org/10.1109/ACSSC.2008.5074355	conference	October 2008
A POMDP Framework for Coordinated Guidance of Autonomous UAVs for Multitarget Tracking Miller, Scott A.; Harris, Zachary A.; Chong, Edwin K. P. EURASIP Journal on Advances in Signal Processing, Vol. 2009, Issue 1 https://doi.org/10.1155/2009/724597	journal	January 2009
Sensor Selection via Convex Optimization Joshi, S.; Boyd, S. IEEE Transactions on Signal Processing, Vol. 57, Issue 2 https://doi.org/10.1109/TSP.2008.2007095	journal	February 2009
UAV Path Planning for Passive Emitter Localization Dogancay, Kutluyil IEEE Transactions on Aerospace and Electronic Systems, Vol. 48, Issue 2 https://doi.org/10.1109/TAES.2012.6178054	journal	January 2012
Cognitive radar: a way of the future Haykin, S. IEEE Signal Processing Magazine, Vol. 23, Issue 1 https://doi.org/10.1109/MSP.2006.1593335	journal	January 2006

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