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.


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    Title :

    Stochastic dynamic programming based approaches to sensor resource management


    Contributors:


    Publication date :

    2002-01-01


    Size :

    613930 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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