| Title | Automated processing of low-cost GNSS receiver data |
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| Author | Banville, S ;
Lachapelle, G; Ghoddousi-Fard, R; Gratton, P |
| Source | Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019); 2019 p. 3636-3652, https://doi.org/10.33012/2019.16972 |
| Image |  |
| Year | 2019 |
| Alt Series | Natural Resources Canada, Contribution Series 20180418 |
| Publisher | Institute of Navigation |
| Meeting | 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019); Miami, FL; US; September 16-20, 2019 |
| Document | Web site |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Subjects | geophysics; Science and Technology; satellite geodesy; ionosphere; models; modelling; geodetic networks; Canadian Spatial Referencing System; Methodology; global navigation satellite systems (GNSS);
Data processing; Automation; Quality control |
| Illustrations | tables; photographs; plots; bar graphs; frequency distribution diagrams; time series; location maps |
| Program | Geodetic Survey Canadian
Spatial Reference System |
| Released | 2019 09 01 |
| Abstract | The availability of raw observations from smartphones and tablets brings new challenges to GNSS data processing. Low-cost GNSS chipsets, combined with omnidirectional antennas, can lead to measurements
highly contaminated by noise and multipath. Therefore, data quality depends not only on the device but also on the environment. Such a diversity is complex to handle for automated GNSS data processing services such as the NRCan precise point
positioning (PPP) service. Processing strategies developed for geodetic receivers now require adaptations to be suitable for low-cost devices: 1) carrier-to-noise weighting should replace elevation-dependent weighting; 2) precise ionospheric
corrections with meaningful quality indicators should be available; 3) the residual tropospheric zenith delay parameter should not be estimated in the PPP filter, which calls for more accurate a priori tropospheric models; and 4) quality control
algorithms should rely on geometry-based rather than geometry-free approaches. With such modifications, static PPP solutions using data collected with a Huawei Mate 20X smartphone can converge to cm-level accuracies under favorable signal tracking
conditions. |
| Summary | (Plain Language Summary, not published)
NRCan provides GPS solutions that enable clients to obtain consistent high-precision positioning in the Canadian Spatial Reference System. While most
users collect GNSS observations using high-end equipment and target centimeter-level accuracy, low-cost GNSS receivers are an emerging trend that requires further considerations. This study investigates how processing of low-cost GNSS data can be
more effectively performed to better serve mass-market users in Canada. |
| GEOSCAN ID | 313756 |
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