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Automatic Identification System (AIS) Dynamic Data Estimation Based on Discrete Kalman Filter (KF) Algorithm


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[1] Banachowicz A., Urbański J., Obliczenia nawigacyjne, AMW, Gdynia 1988 [Navigation calculations - available in Polish].Search in Google Scholar

[2] Czapiewska A., Sadowski J., Algorithms for Ship Movement Prediction for Location Data Compression, ‘TransNav, The International Journalon Marine Navigationand Safety of Sea Transportation’, 2015, Vol. 9, No. 1, pp. 75-81.10.12716/1001.09.01.09Search in Google Scholar

[3] ITU-R M.1371-5, Technical characteristics for an automatic identification system using TDMA in the VHF maritime mobile frequency band, 2014.Search in Google Scholar

[4] Jaskólski K., AIS dynamic data estimation based on Kalman Filter, AIS Seminar, HELCOM ’17, Helsinki 2017.Search in Google Scholar

[5] Kaniewski P., Funkcje, struktury i algorytmy w zintegrowanych systemach pozycjonujących i nawigacyjnych, habilitation dissertation, WAT, Warszawa 2010 [Functions, structures and algorithms in integrated positioning and navigation systems - available in Polish].Search in Google Scholar

[6] Kantak T., Stateczny A., Urbański J., Podstawy automatyzacji nawigacji, cz. A, Zautomatyzowane systemy nawigacyjne, AMW, Gdynia 1988 [Fundamentals of automation for navigation, Part A, Automated navigation systems - available in Polish].Search in Google Scholar

[7] Konatowski S., Sipa T., Position Estimation Using Unscented Kalman Filter, ‘Annual of Navigation’, 2004, No. 8, pp. 97-110.Search in Google Scholar

[8] Naus K., Nowak A., The Positioning Accuracy of BAUV Using Fusion of Data from USBL System and Movement Parameters Measurements, ‘Sensors’, 2016, 16, 1279.Search in Google Scholar

[9] Richert D., Propozycja modernizacji systemu AIS w oparciu o filtr Kalmana, master’s thesis, AMW, Gdynia 2017 [Proposal for modernization of the AIS system based on Kalman filter - available in Polish].Search in Google Scholar