Title :
Stabilization of tracks with multiple model filters
Author :
Kolawole, Michael O.
Author_Institution :
Jindalee Project, Telecom Australia, Melbourne, Vic., Australia
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390094
