Journal is indexed in following databases:

2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
GNSS Positioning Error Change-point Detection in GNSS Positioning Performance Modelling
1 University of Ljubljana, Ljubljana, Slovenia
2 Zagreb University of Applied Sciences, Zagreb, Croatia
3 University of Rijeka, Rijeka, Croatia
Times cited (SCOPUS): 3
ABSTRACT: Provision of uninterrupted and robust Positioning, Navigation, and Timing (PNT) services is essential task of Global Navigation Satellite Systems (GNSS) as an enabling technology for numerous technology and socio-economic applications, a cornerstone of the modern civilisation, a public goods, and an essential component of a national infrastructure. GNSS resilience may be accomplished only with complete understanding of the causes of GNSS positioning performance disruptions and degradations, presented in a form of applications- and scenarios-related models. Here the application of change-point detection methods is proposed and demonstrated in a selected scenario of a fast-developing ionospheric storm’s impact on GNSS positioning performance, as a novel contribution to forecasting GNSS positioning performance model development and GNSS utilisation risk mitigation.
Aminikhanghahi, S, Cook, D. (2017). A Survey of methods for time series change point detection. Knowledge and Information Systems, 51(2), 339-367. Available at: - doi:10.1007/s10115-016-0987-z
Chandola, V, Vatsavai, R R. (2011). A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. Proc of the 2011 SIAM International Conference on Data Mining, 95-106. Mesa, AZ. - doi:10.1137/1.9781611972818.9
Filić, M, Filjar, R. (2019). On correlation between SID monitor and GPS-derived TEC observations during a massive ionospheric storm development. Best Student Paper Award at URSI AP-RASC 2019. New Delhi, India. Available at: - doi:10.23919/URSIAP-RASC.2019.8738664
Filić, M, Filjar, R. (2018). Forecasting model of space weather-driven GNSS positioning performance. Lambert Academic Publishing. Riga, Latvia. ISBN 978-613-9-90118-0.
Gustafsson, F. (2000). Adaptive Filtering and Change Detection. John Wiley & Sons. Chichester, UK. - doi:10.1002/0470841613
Killick, R. (2016). R Package changepoint. R project for statistical computing. Available at:
Killick, R, Eckley, I A. (2014). Changepoint: An R Package for Changepoint Analysis. Journal of Statistical Software, 58(39, 1-19. doi: 10.18637/jss.v058.i03 - doi:10.18637/jss.v058.i03
Lenac, K, Filić, M, Filjar, R. (2019). GPS ionospheric delay dynamics characterisation using recurrence plot analysis. Presented for consideration to J of Navigation (Cambridge University Press).
NOAA. (2019). Kp index data archive. US National Oceanic and Atmospheric Administration (NOAA). Available at:
Sonel. (2019). Internet archive of GPS observations. SONEL network. Available at:
Schroeder, A L M M. (2016). Methods for Change-Point Detection with Additional Interpretability. London School of Economics and Political Sciences. London, UK. Available at:
Scott, A J, Knott, M. (1974). A Cluster Analysis Method for Grouping Means in the Analysis of Variance. Biometrics, 30(3), 507-512. - doi:10.2307/2529204
Truong, C, Oudre, L, Vaytis, N. (2019). Selective review of offline change point detection methods. Preprint at arXiv: 1801.00718. Available at:
Watanabe, S. (2013). A Widely Applicable Bayesian Information Criterion. J of Machine Learning Res, 14, 867-897. Available at:
HM Government Office for Science. (2018). Satellite-Derived Time and Position: A Study of Critical Dependencies. HM Government of the United Kingdom and Northern Ireland. Available at:
Citation note:
Filić M., Filjar R.: GNSS Positioning Error Change-point Detection in GNSS Positioning Performance Modelling. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 3, doi:10.12716/1001.13.03.12, pp. 575-579, 2019
Authors in other databases:
Mia Filić:

Other publications of authors:

File downloaded 547 times

Important: cookie usage
The 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 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