Title :
Estimation of one-dimensional radar tracking via fuzzy-Kalman filter
Author :
Li, Tzuu-Hseng S.
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
In this paper, a combination of fuzzy decision logic and Kalman filter is investigated. The application to one-dimensional radar tracking problem is studied. Simulations illustrate that the fuzzy-Kalman filter can achieve faster transient and better steady-state estimations than the traditional Kalman filter does. The stability analysis of this kind of filter is also examined
Keywords :
Kalman filters; filtering and prediction theory; fuzzy logic; radar systems; stability; state estimation; tracking systems; 1D radar tracking system; fuzzy decision logic; fuzzy-Kalman filter; stability analysis; steady-state estimations; transient response; Decision making; Equations; Filters; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Radar measurements; Radar tracking; Zirconium;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
DOI :
10.1109/IECON.1993.339451
