Targets, sensors and infinite-horizon tracking optimality

Eric Feron, Christian Olivier

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

8 Scopus citations

Abstract

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
Pages2291-2292
Number of pages2
DOIs
StatePublished - Jan 1 1990
Externally publishedYes

Fingerprint Dive into the research topics of 'Targets, sensors and infinite-horizon tracking optimality'. Together they form a unique fingerprint.

Cite this