Alternative for Kalman Filter – Two Dimension Self-learning Filter with Memory

• Autorzy: Fellner A. , Banaszek K. , Trominski P.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Global Positioning System GPS; Kalman filter; Accuracy of Position; Navigation Filters; EGNOS; Powell Algorithm; navigation algorithm

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2010
• Tom: Vol. 4, no. 4
• Strony: 429--431
• Opis fizyczny: Bibliogr. 2 poz., rys.

Twórcy

autor

Fellner A.

• Silesian University of Technology, Gliwice, Poland

autor

Banaszek K.

• Polish Air Navigation Services Agency, Warsaw, Poland

autor

Trominski P.

• GNSS-Consortium, Poland

Bibliografia

• 1. Xu, B. 1996. „A new navigation filter”.
• 2. Vanìcek, P. & Omerbašic, M. 1999. „Does a navigation al-gorithm have to use Kalman filter?” Department of Geode-sy and Geomatics Engineering University of New Bruns-wick