Integration architectures of navigation systems for unmanned vehicles

Author

Vaispacher, Tomas ; Breda, Robert ; Madarasz, Ladislav

Author_Institution

Dept. of Avionics, Tech. Univ. in Kosice, Kosice, Slovakia

fYear

2015

fDate

22-24 Jan. 2015

Firstpage

97

Lastpage

101

Abstract

This contribution is part of analysis and research in field of unmanned vehicles navigation developed at Faculty of Aeronautics, Technical University in Kosice. The content of this contribution is an issue of the INS and GNSS integration. Loosely coupled integration architecture was in this case chosen as the basic for simple explanation of the integration issue. Within this contribution the emphasis is focused on suitable Kalman filtering and mathematical background. In the last part of the contribution is given short review on actualization of the basic discrete equations of inertial navigation.

Keywords

Kalman filters; autonomous aerial vehicles; inertial navigation; satellite navigation; Faculty of Aeronautics; GNSS; INS; Kalman filtering; Technical University in Kosice; inertial navigation; integration architectures; loosely coupled integration architecture; navigation systems; unmanned vehicle navigation; Covariance matrices; Equations; Global Positioning System; Kalman filters; Mathematical model; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on

Conference_Location

Herl´any

Type

conf

DOI

10.1109/SAMI.2015.7061854

Filename

7061854