Title :
Maneuvering target tracking in uncertain parameter systems using robust H∞ FIR filters
Author :
Yoo, Kyung-Sang ; Kwon, Oh-Kyu ; Kim, Dae-Woo
Author_Institution :
Dept. of Electr. Eng, Doowon Tech. Coll., Ansung, South Korea
Abstract :
This paper deals with the maneuver detection and target tracking problem in uncertain parameter systems using a robust H∞ filter to improve the unacceptable tracking performance due to the parameter uncertainty. The tracking filter used is based on the robust H∞ FIR filter proposed by Kwon et al. (1996) to estimate the state signal in uncertain systems with parameter uncertainty, and the basic scheme of the proposed method is the input estimation approach
Keywords :
FIR filters; Riccati equations; filtering theory; state estimation; target tracking; uncertain systems; FIR filters; Riccati difference equation; maneuvering target tracking; robust H∞ filters; state estimation; state space method; uncertain parameter systems; Educational institutions; Estimation error; Filtering algorithms; Finite impulse response filter; Measurement errors; Noise robustness; Riccati equations; State estimation; Target tracking; Uncertain systems;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.649853
