DocumentCode
3085729
Title
Targets, sensors and infinite-horizon tracking optimality
Author
Feron, Eric ; Olivier, Christian
Author_Institution
Lab. Syst. de Perception, ETC, Arcueil, France
fYear
1990
fDate
5-7 Dec 1990
Firstpage
2291
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 closely 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
Keywords
Kalman filters; filtering and prediction theory; radar theory; tracking; Kalman filtering; characteristic fractal set; infinite-horizon optimality scheduling; infinite-horizon tracking optimality; measurement sensors; multiple-target tracking; radar theory; state filtering; Control systems; Filtering; Infinite horizon; Kalman filters; Optimal control; Optimal scheduling; Riccati equations; Sensor phenomena and characterization; Sensor systems; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/CDC.1990.204032
Filename
204032
Link To Document