Rollout strategy for Hidden Markov Model (HMM)-based dynamic sensor scheduling

In this paper, a hidden Markov model (HMM)-based dynamic sensor scheduling problem is formulated, and solved using rollout concepts to overcome the computational intractability of the dynamic programming (DP) recursion. The problem considered here involves dynamically sequencing a set of sensors to...

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Bibliographische Detailangaben

Hauptverfasser:	Hyunsung Lee, Singh, S., Woosun An, Gokhale, S.S., Pattipati, K., Kleinman, D.L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Costs Dynamic programming Dynamic scheduling Hidden Markov models Intelligent sensors Processor scheduling Reconnaissance State estimation Surveillance Weapons
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