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Stochastic dynamic programming based approaches to sensor resource management

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3 Author(s)
Washburn, R.B. ; Fusion Technol. & Syst. Div., Alphatech Inc., Burlington, MA, USA ; Schneider, M.K. ; Fox, J.J.

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.

Published in:

Information Fusion, 2002. Proceedings of the Fifth International Conference on  (Volume:1 )

Date of Conference:

8-11 July 2002