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Optimal Scheduling for State Estimation Using a Terminal Cost Function

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3 Author(s)
Savage, C.O. ; Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic. ; La Scala, B.F. ; Moran, B.

In this paper we consider state estimation problems where there are multiple independent processes evolving but the estimation scheme can only select a limited set of processes to measure at each time step. Within a Gauss-Markov framework, we show the optimality of a scheduling scheme under various scenarios. These types of problems are common in sensor scheduling applications

Published in:

Information Fusion, 2006 9th International Conference on

Date of Conference:

10-13 July 2006

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