DocumentCode
1298472
Title
Strapdown inertial navigation system/astronavigation system data synthesis using innovation-based fuzzy adaptive Kalman filtering
Author
Ali, Jalil
Author_Institution
Center for Control & Instrum., NESCOM, Islamabad, Pakistan
Volume
4
Issue
5
fYear
2010
fDate
9/1/2010 12:00:00 AM
Firstpage
246
Lastpage
255
Abstract
The integration of strapdown inertial navigation system (SINS) with an astronavigation system (ANS) using fuzzy logic to adapt the Kalman filter is investigated in this study. A method is proposed that is based on fuzzy rules to adjust the parameters of a traditional Kalman filter. Simulation results for a spacecraft application demonstrate the validity of the method for improving the navigation system reliability, adaptability and performance.
Keywords
adaptive Kalman filters; fuzzy logic; inertial navigation; ANS; SINS; astronavigation system; data synthesis; fuzzy rules; innovation-based fuzzy adaptive Kalman filtering; spacecraft application; strapdown inertial navigation;
fLanguage
English
Journal_Title
Science, Measurement & Technology, IET
Publisher
iet
ISSN
1751-8822
Type
jour
DOI
10.1049/iet-smt.2009.0065
Filename
5550910
Link To Document