scholarly journals Analysis of multi‐constellation GNSS receiver performance utilizing 1‐st side‐lobe signal on the use of SSV for KPS satellites

2021 ◽  
Author(s):  
Gun‐Hoon Ji ◽  
Heon Shin ◽  
Jong‐Hoon Won
Keyword(s):  
Side Lobe ◽  
Gnss Receiver ◽  
Receiver Performance

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.

Reducing Front-End Bandwidth May Improve Digital GNSS Receiver Performance

2010 ◽  
Vol 58 (4) ◽  
pp. 2399-2404 ◽  
Author(s):  
James T. Curran ◽  
Daniele Borio ◽  
Gérard Lachapelle ◽  
Colin C. Murphy
Keyword(s):  
Gnss Receiver ◽  
Front End ◽  
Receiver Performance

scholarly journals Analysis of Multi-Antenna GNSS Receiver Performance under Jamming Attacks

Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1937 ◽  
Author(s):  
Niranjana Vagle ◽  
Ali Broumandan ◽  
Gérard Lachapelle
Keyword(s):  
Jamming Attacks ◽  
Gnss Receiver ◽  
Receiver Performance
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