DocumentCode :
477009
Title :
Sensor scheduling for multiple target tracking and detection using passive measurements
Author :
Hanselmann, Thomas ; Morelande, Mark ; Moran, Bill ; Sarunic, Peter
Author_Institution :
Dept. of Electr.&Electron. Eng., Univ. of Melbourne, Melbourne, VIC
fYear :
2008
fDate :
June 30 2008-July 3 2008
Firstpage :
1
Lastpage :
8
Abstract :
An algorithm for scheduling and control of passive sensors is proposed. This algorithm is based on a partially observed Markov decision process and an expected short- or long-term reward given by the sum of Renyi information divergences between Gaussian densities. This allows effective and efficient implementations and is demonstrated on simulations of situation scenarios of practical interest. The different situations scenarios are composed of multiple unmanned aerial vehicles (UAVs), equipped with passive radar sensors, and multiple unknown targets using active radars. The rewards, in terms of measurement information gains, are then maximized to achieve the objectives of scheduling different sensors and trajectory controls.
Keywords :
Markov processes; radar signal processing; remotely operated vehicles; scheduling; target tracking; Gaussian densities; Markov decision process; Renyi information divergences; active radars; multiple target detection; multiple target tracking; multiple unmanned aerial vehicles; passive measurements; passive sensors; sensor scheduling; Multi Target Tracking; POMDP; Rényi Information Divergence; autonomous UAV control; estimation; measurement information maximization; short-term scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2008 11th International Conference on
Conference_Location :
Cologne
Print_ISBN :
978-3-8007-3092-6
Electronic_ISBN :
978-3-00-024883-2
Type :
conf
Filename :
4632392
Link To Document :
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