Journal is indexed in following databases:



2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7



HomePage
 




 


 

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
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Galileo AltBOC E5 Signal Characteristics for Optimal Tracking Algorithms
1 Czech Technical University in Prague, Prague, Czech Republic
ABSTRACT: The paper deals with an optimal processing of a Galileo E5 signal. A proposed correlator structure was developed on a base of a deep study of an E5 signal cross correlation function. Due to the non linearity of the E5 AltBOC modulation the proposed correlator calculates the cross correlation function between a received signal and a signal replica for all possible hypotheses of the navigation message bits. A correct peak tracking verification is realized by implementation of a single side band correlator, which also serves for course signal acquisition and secondary ranging code synchronization. The signal processing was verified on the Galileo Giove A and Giove B satellites with very positive preliminary results.
REFERENCES
ESA 2008. Galileo Open Service, Signal In Space Interface Control Document, OS SIS ICD, Draft 1. European Space Agency / European GNSS Supervisory Authority.
Kaplan, D. 1996. Understanding GPS Principles and Applica-tions. London: Artech House Inc.
Kovář, P. & Seidl, L. & Špaček, J. & Vejražka, F. 2006. Software GNSS Receiver for Signal Experiments. In IAIN/GNSS 2006. 12-th IAIN World Congress. Proceedings, vol. 2. Jeju: Korean Institute of Navigation and Port Research: 391-394.
Citation note:
Vejražka F., Kovar P., Kacmarík P.: Galileo AltBOC E5 Signal Characteristics for Optimal Tracking Algorithms. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 1, pp. 37-40, 2010

Other publications of authors:


File downloaded 1661 times








Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony