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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Alternative for Kalman Filter - Two Dimension Self-learning Filter with Memory
1 Silesian University of Technology, Katowice, Poland
2 Polish Air Navigation Services Agency, Warsaw, Poland
3 GNSS-Consortium, Poland
2 Polish Air Navigation Services Agency, Warsaw, Poland
3 GNSS-Consortium, Poland
ABSTRACT: We propose new solution for idea Prof. Vanicek and Prof. Inzinga. This filter relies basically on the information contained in measurements on the vehicle: position fixes, velocities and their error statistics.
KEYWORDS: Global Positioning System (GPS), EGNOS, Accuracy of Position, Kalman Filter, Navigation Filters, Powell Algorithm, Navigation Algorithm
REFERENCES
Xu, B. 1996. „A new navigation filter”.
Vanìcek, P. & Omerbašic, M. 1999. „Does a navigation algorithm have to use Kalman filter?” Department of Geodesy and Geomatics Engineering University of New Brunswick
Citation note:
Fellner A., Banaszek K., Tróminski P.: Alternative for Kalman Filter - Two Dimension Self-learning Filter with Memory. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 4, pp. 429-431, 2010
Authors in other databases:
Andrzej Fellner:
53867812700
53867812700
Krzysztof Banaszek:
Paweł Tróminski:
Other publications of authors:
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