A Fully Flexible Methodology for GNSS Receiver Performance Assessment under Ionospheric Scintillation

2018 ◽  
Author(s):  
Juan M. Parro ◽  
Rui Sarnadas ◽  
Paolo Crosta ◽  
Juan de Mateo ◽  
Raul Or�s ◽  
...  
Keyword(s):  
Performance Assessment ◽  
Ionospheric Scintillation ◽  
Gnss Receiver ◽  
Receiver Performance

scholarly journals Traditional and Kalman Filter-Based GNSS Receiver Structures for Ionospheric Scintillation Monitoring and Mitigation

2021 ◽  
Author(s):  
Rafael Lopes ◽  
Felix Antreich ◽  
Hélio Kuga
Keyword(s):  
Kalman Filter ◽  
Ionospheric Scintillation ◽  
Gnss Receiver ◽  
Receiver Structures

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

scholarly journals Exploring GNSS Crowdsourcing Feasibility: Combinations of Measurements for Modeling Smartphone and Higher End GNSS Receiver Performance

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3018 ◽  
Author(s):  
Ville V. Lehtola ◽  
Stefan Söderholm ◽  
Michelle Koivisto ◽  
Leslie Montloin
Keyword(s):  
Kalman Filters ◽  
Measurement Errors ◽  
Base Stations ◽  
Error Models ◽  
Gnss Receiver ◽  
Integrated Antennas ◽  
Exchange Format ◽  
Gnss Receivers ◽  
Receiver Performance

GNSS receiver data crowdsourcing is of interest for multiple applications, e.g., weather monitoring. The bottleneck in this technology is the quality of the GNSS receivers. Therefore, we lay out in an introductory manner the steps to estimate the performance of an arbitrary GNSS receiver via the measurement errors related to its instrumentation. Specifically, we do not need to know the position of the receiver antenna, which allows also for the assessment of smartphone GNSS receivers having integrated antennas. Moreover, the method is independent of atmospheric errors so that no ionospheric or tropospheric correction services provided by base stations are needed. Error models for performance evaluation can be calculated from receiver RINEX (receiver independent exchange format)data using only ephemeris corrections. For the results, we present the quality of different receiver grades through parametrized error models that are likely to be helpful in stochastic modeling, e.g., for Kalman filters, and in assessing GNSS receiver qualities for crowdsourcing applications. Currently, the typical positioning precision for the latest smartphone receivers is around the decimeter level, while for a professional-grade receiver, it is within a few millimeters.

The Time Synchronization Signals of the GNSS Receiver for KSLV-II and Their Performance Assessment

2019 ◽  
Vol 47 (11) ◽  
pp. 812-820
Author(s):  
Byung-Moon Kwon ◽  
Yong-Sul Shin ◽  
Keun-Su Ma ◽  
Kwang-Ho Yun ◽  
Hung-k Seo
Keyword(s):  
Performance Assessment ◽  
Time Synchronization ◽  
Gnss Receiver
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