Real-time GPS and GLONASS integrity monitoring and reference station software

2014

Survey Review

Section: Introductionmentioning

confidence: 99%

Estimation of multi-constellation GNSS observation stochastic properties using single receiver single satellite data validation method

2014

Survey Review

“…In addition to quality control of Global Positioning System (GPS) observations, validation of data from other GNSS constellations was investigated in De Jong et al (2001) for GPS with GLONASS data, and in Ene et al (2007) and Neri et al (2011) for GPS with Galileo observations. El-Mowafy (2013) investigated validation of BeiDou observations in a standalone mode.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Tools Using a Multi-Constellation Single-Receiver Single-Satellite Data Validation Method

2014

J. Navigation

The use of single-receiver single-satellite data validation parameters for numerical and graphical diagnostics of the multi-frequency observations is presented. This method validates Global Navigation Satellite System (GNSS) measurements of a single receiver where data from each satellite are independently processed using a geometry-free observation model with a reparameterised form of the unknowns. The method is applicable to any GNSS with any number of frequencies. The diagnostic tools are based on checking agreement of characteristics of the validation test statistics against theory. The use of these diagnostics in static and kinematic modes is demonstrated using multiple-frequency data from three GNSS constellations; Global Positioning System (GPS), Globalnaya Navigatsionnaya Sputnikovaya Sistema (GLONASS) and Galileo.

“…While most attention was given to validation of GPS observations, some studies consider multi-constellation GNSS. For instance, quality control of GPS with GLONASS was discussed in De Jong et al (2001), and GPS with Galileo was considered in Ene et al (2007); De Bakker el al. (2009b);and Neri et al (2011).…”

Section: Introductionmentioning

confidence: 99%

GNSS multi-frequency receiver single-satellite measurement validation method

2013

GPS Solut

A method is presented for real-time validation of GNSS measurements of a single receiver, where data from each satellite are independently processed. A geometry-free observation model is used with a reparameterized form of the unknowns to overcome rank deficiency of the model. The ionosphere error and non-constant biases such as multipath are assumed changing relatively smoothly as a function of time. Data validation and detection of errors is based on statistical testing of the observation residuals using the Detection-Identification-Adaptation (DIA) approach. The method is applicable to any GNSS with any number of frequencies. The performance of validation method was evaluated using multiple-frequency data from three GNSS (GPS, GLONASS and Galileo) that span three days in a test site at Curtin University, Australia. Performance of the method in detection and identification of outliers in code observations and detection of cycle slips in phase data was examined. Results show that the success rate vary according to precision of observations and their number as well as size of the errors. The method capability is demonstrated when processing four IOV Galileo satellites in a single point positioning mode, and in another test by comparing its performance with Bernese software in detection of cycle slips in PPP processing using GPS data.