DocumentCode
290628
Title
Stabilization of tracks with multiple model filters
Author
Kolawole, Michael O.
Author_Institution
Jindalee Project, Telecom Australia, Melbourne, Vic., Australia
Volume
iii
fYear
1994
fDate
19-22 Apr 1994
Abstract
This paper describes the stability problem associated with tracking in a noisy environment. The use of multiple model filters in tracks formulation provides an avenue for studying the tracking stability. This study shows the relative importance of noise models in the stabilization of tracking errors
Keywords
adaptive Kalman filters; adaptive control; discrete time systems; error analysis; noise; nonlinear control systems; radar tracking; stability; tracking filters; control systems; multiple model filters; noise models; noisy environment; tracking; tracks stabilization; Control systems; Extrapolation; Filtering; Filters; Nonlinear control systems; Radar tracking; Stability; Target tracking; Telecommunications; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location
Adelaide, SA
ISSN
1520-6149
Print_ISBN
0-7803-1775-0
Type
conf
DOI
10.1109/ICASSP.1994.390094
Filename
390094
Link To Document