Title :
Using IMM adaptive estimator in GPS positioning
Author :
Chen, Genshe ; Harigae, Masatoshi
Author_Institution :
Flight Div., Nat. Aerosp. Lab., Tokyo, Japan
Abstract :
The interacting multiple model (IMM) adaptive estimator is used as a means of improving the GPS receiver positioning performance in various dynamic conditions. Each Kalman filter is considered to be locally valid, applicable over a region of the working space defined by the filter conditioning value. Three dynamic models correspond to the stationary, low dynamic, and high dynamic working space. A numerical study is used to demonstrate the viability of the concept. In comparison with previous methodology, the new, IMM based method leads to an improvement in GPS position accuracy
Keywords :
Global Positioning System; Kalman filters; adaptive estimation; filtering theory; GPS positioning; Kalman filter; dynamic conditions; dynamic models; filter conditioning value; high dynamic working space; interacting multiple model adaptive estimator; low dynamic working space; receiver positioning performance; stationary working space; Acceleration; Adaptive estimation; Aerodynamics; Filters; Global Positioning System; Laboratories; Navigation; Satellites; Space stations; Stochastic systems;
Conference_Titel :
SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers
Conference_Location :
Nagoya
Print_ISBN :
0-7803-7306-5
DOI :
10.1109/SICE.2001.977810