Integrity Monitoring of IGEX-98 Data, Part II: Cycle Slip and Outlier Detection

Abstract

main function of this software is to detect slips and outliers in phase and code observations in real time. In addition, the software also allows the validation of the information contained in the broadcast navigation messages.The results of the IGEX-98 data analyses will be presented in a three-part series. In this second part of the series, GLONASS outlier and slip statistics will be discussed in detail. The first part was concerned with the availability of GLONASS observations, while in the third one the broadcast navigation message validation results will be considered.he Delft University of Technology has traditionally been involved in research towards quality control of (geodetic) observations. Originally applied to conventional surveying techniques, the quality control procedures developed at the Delft University were also utilized within the context of the Dutch Permanent GPS array, (de Jong, 1996). The dual-frequency GPS receivers at the reference stations of the array employ dedicated integrity monitoring software to ensure the quality and reliability of the observations.

Risking to underestimate the integrity risk

“…These findings show that one indeed runs a serious risk of underestimating the actual integrity risk (or overestimating the confidence level) when using the unconditional distributions instead of the conditional ones. We hereby note that our findings, although demonstrated by means of an application of the DIA procedure, are equally valid for any other method of fault detection and exclusion, and, therefore, hold true for a wide variety of different applications, such as geodetic quality control (Kösters and van der Marel 1990;Amiri Simkooei 2001;Perfetti 2006), navigational integrity (Teunissen 1990b;Gillissen and Elema 1996;Yang et al 2014), structural health integrity (Verhoef and de Heus 1995;Yavaşoğlu et al 2017;Durdag et al 2018), and integrity monitoring of GNSS (Jonkman and de Jong 2000;Kuusniemi et al 2004;Hewitson and Wang 2006). Finally, a summary with conclusions are presented.…”

Single-receiver single-channel multi-frequency GNSS integrity: outliers, slips, and ionospheric disturbances

“…For the integrity monitoring of carrier-phase data, various studies can already be found in the literature. For dual-frequency GPS data, for instance, methods of carrier phase-slip detection are discussed and tested in (Lipp and Gu 1994;Mertikas and Rizos 1997;Blewitt 1998;Teunissen 1998a;Gao and Li 1999;Jonkman and de Jong 2000;Bisnath and Langley 2000;Bisnath et al 2001;Liu 2010;Miao et al 2011). More recent studies on triple-frequency carrier phase-slip detection can be found in (Fan et al 2006;Dai et al 2009;Wu et al 2010;De Lacy et al 2011;Xu and Kou 2011;Fan et al 2011).…”

On the computation of confidence regions and error ellipses: a critical appraisal

“…In our daily data processing, it is common practice to combine methods of parameter estimation and hypothesis testing. Such examples can be found in a wide variety of different applications, like geodetic quality control (Kösters and Van der Marel 1990;Seemkooei 2001;Perfetti 2006), navigational integrity (Teunissen 1990;Gillissen and Elema 1996;Yang et al 2014), deformation analysis and structural health monitoring (Verhoef and De Heus 1995;Yavaşoglu et al 2018;Durdag et al 2018;Lehmann and Lösler 2017;Nowel 2020), and GNSS integrity monitoring (Jonkman and De Jong 2000;Kuusniemi et al 2004;Hewitson and Wang 2006;Khodabandeh and Teunissen 2016). However, when combining parameter estimation and statistical testing, the finally produced estimator will have inherited uncertainties stemming from both the estimation and testing steps.…”