Title :
A systematic approach to robustly reject persistent disturbances in target tracking applications
Author :
O.Y. Bas;B. Shafai
Author_Institution :
MathWorks Inc., Natick, MA, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
The problem of Kalman filtering for systems involving unmodeled persistent disturbances is studied. A proportional-integral (PI) Kalman filter for accommodation of such disturbances is proposed. A theoretical analysis is included in the paper. The robustness properties of the PI Kalman filter are demonstrated both analytically and through simulations.
Keywords :
"Robustness","Target tracking","Radar tracking","Acceleration","Fading","Kalman filters","Application software","Position measurement","Accelerometers","Filtering"
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.946191
