Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015

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Multiple Adaptive Fading Cubature Kalman Filter for INS/GPS Integrated Navigation

Authors
Wei Lin
Corresponding Author
Wei Lin
Available Online November 2015.
DOI
10.2991/iccet-15.2015.353How to use a DOI?
Keywords
INS/GPS; integrated navigation; CubatureKalmanFilter; multiple fading factor.
Abstract

A multiple adaptive fading cubature Kalman filter (MAFCKF) is designed by introducing the multiple fading factors to mitigate the negative effects of the uncertainties in dynamics or measurement model. The effectiveness of the proposed MAFCKF was demonstrated and proved by the INS/GPS integrated navigation simulations.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-134-6
ISSN
2352-5401
DOI
10.2991/iccet-15.2015.353How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Wei Lin
PY  - 2015/11
DA  - 2015/11
TI  - Multiple Adaptive Fading Cubature Kalman Filter for INS/GPS Integrated Navigation
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 1895
EP  - 1899
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.353
DO  - 10.2991/iccet-15.2015.353
ID  - Lin2015/11
ER  -