DocumentCode
2572463
Title
Extending the IMM filter to Heterogeneous-Order state space models
Author
Lopez, Rémy ; Danés, Patrick ; Royer, François
Author_Institution
LAAS, CNRS, Toulouse, France
fYear
2010
fDate
15-17 Dec. 2010
Firstpage
7369
Lastpage
7374
Abstract
An extension of the celebrated Interacting Multiple Model (IMM) filter is proposed so as to handle a bank of models with state vectors of heterogeneous size and meaning. The derivation of the IMMHO (IMM Heterogeneous-Order) filter is exposed. It is argued that a component-wise cooperation strategy leads to a sound and versatile solution. Simulation results in the context of satellite telemetry, for which the prior dynamics of the moving target is poorly known, show that the filter is well-behaved, with adequate operation across the various modes. All the theoretical background is provided so that the paper is self-contained.
Keywords
Kalman filters; satellite telemetry; target tracking; IMM Kalman filter; IMM heterogeneous-order filter; component-wise cooperation; heterogeneous-order state space model; interacting multiple model; moving target tracking; satellite telemetry; state vector; Approximation algorithms; Approximation methods; Equations; Kalman filters; Markov processes; Mathematical model; Satellites; IMM Kalman filters; IMMHO filter; heterogeneous-order switching models; target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
0743-1546
Print_ISBN
978-1-4244-7745-6
Type
conf
DOI
10.1109/CDC.2010.5717415
Filename
5717415
Link To Document