Detecting consistent patterns in pseudorange residuals in GNSS timing data

Abstract

The aim of this paper is to reduce the noise level in the time signals of the Global Navigation Satellite Systems (GNSS). This is done by finding patterns in the Common Generic GNSS Timing Transfer Standard (CGGTTS) data, as the pseudorange residuals in this data appear to include patterns that repeat every day. The reduced noise level allows for easier detection of possible anomalies in the time signals of individual GNSS satellites and hence increases the resilience of the GNSS time measurement. The observed patterns are explainable by multipath, repeating every time the satellite is at a certain position in its groundtrack.