Targets, sensors and infinite-horizon tracking optimality

Eric Feron, Christian Olivier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


The problem of optimally scheduling various measurement sensors in a multiple-target tracking application is addressed. A short review of state filtering fundamentals using the Kalman filtering formalism is given. It is pointed out that the infinite-horizon optimality scheduling problem is closley related to the definition of some invariants and to the construction of a characteristic fractal set. Iteratively building an approximation of this set results in quasi-optimal finite-length sensor allocation sequences.
Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherPubl by IEEEPiscataway
Number of pages2
StatePublished - Jan 1 1990
Externally publishedYes

Bibliographical note

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