Strapdown inertial navigation system/astronavigation system data synthesis using innovation-based fuzzy adaptive Kalman filtering.

Authors :: Ali, J.
Source :: IET Science, Measurement & Technology (Institution of Engineering & Technology). Sep2010, Vol. 4 Issue 5, p246-255. 10p. 2 Diagrams, 2 Charts, 7 Graphs.
Publication Year :: 2010
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. [ABSTRACT FROM AUTHOR]

Subjects :: *NAVIGATION (Astronautics)
*CONTROL theory (Engineering)
*STOCHASTIC processes
*KALMAN filtering
*INERTIAL navigation (Aeronautics)
*NAVAL education

Language :: English
ISSN :: 17518822
Volume :: 4
Issue :: 5
Database :: Academic Search Index
Journal :: IET Science, Measurement & Technology (Institution of Engineering & Technology)
Publication Type :: Academic Journal
Accession number :: 52928830
Full Text :: https://doi.org/10.1049/iet-smt.2009.0065

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