Using IMM adaptive estimator in GPS positioning

Author

Chen, Genshe ; Harigae, Masatoshi

Author_Institution

Flight Div., Nat. Aerosp. Lab., Tokyo, Japan

fYear

2001

fDate

2001

Firstpage

78

Lastpage

83

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;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers

Conference_Location

Nagoya

Print_ISBN

0-7803-7306-5

Type

conf

DOI

10.1109/SICE.2001.977810

Filename

977810