GNSS Positioning Error Change-point Detection in GNSS Positioning Performance Modelling

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 socioeconomic 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. http://www.transnav.eu the International Journal on Marine Navigation and Safety of Sea Transportation Volume 13 Number 3

Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function

“…This technique utilizes change point detection methods to pinpoint the defective stage. Filic and Filjar presented the use of change-point detection methods in a specific scenario of rapidly evolving ionospheric storms and their effect on GNSS positioning performance [2]. This approach is a new addition to the development of models for predicting global navigation satellite systems' (GNSS) positioning performance and reducing the risk of GNSS utilization.…”

A comparison of online methods for change point detection in ion-mobility spectrometry data

“…This time point indicates a change in a process generating the data points. Change point detection is widely used in quality control [2], navigation system monitoring [3], seismic data processing [4], medicine, etc. [5].…”