This paper describes a stochastic dynamic programming based approach to solve sensor resource management (SRM) problems such as occur in tracking multiple targets with electronically scanned, multi-mode radar Specifically, it formulates the SRM problem as a stochastic scheduling problem and develops approximate solutions based on the Gittins index rule. Novel results include a hybrid state stochastic model for the information dynamics of tracked targets, an exact index rule solution of the SRM problem for a simplified tracking model, and use of approximate dynamic programming to extend the index rule solution to more realistic models.
Stochastic dynamic programming based approaches to sensor resource management
01.01.2002
613930 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Stochastic Dynamic Programming Based Approaches to Sensor Resource Management
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