Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
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
A Comparison of the Least Squares with Kalman Filter Methods Used in Algorithms of Fusion with Dead Reckoning Navigation Data
1 West Pomeranian University of Technology, Szczecin, Poland
2 Polish Naval Academy, Gdynia, Poland
2 Polish Naval Academy, Gdynia, Poland
ABSTRACT: Different calculation methods and configurations of navigation systems can be used in algorithms of navigational parameter fusion and estimation. The article presents a comparison of two methods of fusion of dead reckoning position with that from a positioning system. These are the least squares method and the Kalman filter. In both methods the minimization of the sum of squared measurement deviations is the optimization criterion. Both methods of navigation position parameter measurements fusion are illustrated using the data recorded during actual sea trials. With the same probabilistic model of dead reckoning navigation, the fusion of DR results with positioning data gives similar outcome.
KEYWORDS: Positioning System, Kalman Filter, Navigational Method, Navigational Methods Development, Dead Reckoning (DR), Navigation Data, Least Squares, Dead Reckoning Navigation
REFERENCES
Balakrishnan A.V.1984, Kalman Filtering Theory, Optimization Software, New York.
Banachowicz A.1988, Ocena dokładności pozycji w nawigacji zliczeniowej. Zeszyty Naukowe AMW nr 2, Gdynia.
Banachowicz A.1990, Metody integracji nawigacyjnego stadiometrycznego systemu satelitarnego z nawigacją zliczeniową. Zeszyty Naukowe AMW nr 1, Gdynia.
Banachowicz A.2001, Variants of Structural and Measurement Models of an Integrated Navigational System, „Annual of Navigation” No 3, Gdynia pages 5 – 18.
Banachowicz A.2013, Banachowicz G., Fuzja pomiarów nawigacyjnych GPS/INS/DR. Logistyka nr 6/2013. Poznań, ss. 2 – 8 (CD).
Banachowicz A., Piela P.2014, Nawigacyjny filtr integrujący GPS/DR. Logistyka nr 6.
Farrell J.A., Barth M.1999, The Global Positioning System & Inertial Navigation. McGrew-Hill, New York .
Kalman R.E.1960, A New Approach to Linear Filtering and Prediction Problems. ASME Journal of Basic Engineering, series D, 82,.
Kalman R.E., Bucy R.S.1961, A New Approach to Linear Filtering and Prediction Theory. ASME Journal of Basic Engineering, series D, 83,.
Mitchell H.B.2007, Multi-Sensor Data Fusion. An Introduction. Springer Verlag Berlin – Heidelberg .
Rao C.R.1973, Linear Statistical Inference and its Applications, Second Edition. John Wiley & Sons, New York.
Ristic B., Arulampalm S., Gordon N.2004, Beyond the Kalman Filter. Participle Filters for Tracking Applications, Artech House, Boston.
Citation note:
Banachowicz A., Wolski A.: A Comparison of the Least Squares with Kalman Filter Methods Used in Algorithms of Fusion with Dead Reckoning Navigation Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 11, No. 4, doi:10.12716/1001.11.04.16, pp. 691-695, 2017
Authors in other databases:
Andrzej Banachowicz:
8578875900
8578875900
Adam Wolski:
8578876500
8578876500
Other publications of authors:
File downloaded 2085 times
