Title :
H∞ filter compared with EKFapplied in GPS dyanmic locating
Author :
You-rong, Chen ; Xiao-yu, Shao ; Jie, Li ; Xiao-li, Xi
Author_Institution :
Northwestern Polytech. Univ., Xi´´an
Abstract :
A Hinfin filter based on GPS dynamic locating method is put forward in this paper. The proposed method is able to decrease the current acceleration model error. Some examples show that the method can perform better in GPS dynamic locating than EKF for less computation consumption and higher locating accuracy.
Keywords :
Global Positioning System; Kalman filters; Global Positioning System; Hinfin filter; current acceleration model error; dynamic locating; extended Kalman filter; Acceleration; Adaptive filters; Clocks; Computational Intelligence Society; Doppler shift; Electronic mail; Equations; Global Positioning System; High performance computing; Uncertain systems;
Conference_Titel :
Aerospace and Electronics Conference, 2008. NAECON 2008. IEEE National
Conference_Location :
Dayton, OH
Print_ISBN :
978-1-4244-2615-7
Electronic_ISBN :
7964-0977
DOI :
10.1109/NAECON.2008.4806560
