LEG-PER - LiDAR-enhanced GNSS positioning error reduction

2021 ◽  
Vol 14 (2) ◽  
pp. 127
Author(s):  
Fabio Vitale ◽  
Walter Balzano
Space Weather ◽  
2018 ◽  
Vol 16 (9) ◽  
pp. 1317-1329 ◽  
Author(s):  
Nicola Linty ◽  
Alex Minetto ◽  
Fabio Dovis ◽  
Luca Spogli

2021 ◽  
Vol 1 (2) ◽  
pp. 7-13
Author(s):  
Darko Špoljar ◽  
Ivan Štajduhar ◽  
Kristijan Lenac ◽  
Renato Filjar

Global Navigation Satellite System (GNSS)-based applications rely on the quality of the GNSS position, navigation, and timing (PNT) services, accomplished through measurement and processing of satellite signals propagation characteristics in a process commonly known as satellite navigation. GNSS positioning performance is in the foundation of the quality of service of GNSS-based applications including the growing number of them in transport, traffic and Intelligent Transport Systems segments, thus a need for a common and independent approach. Here, we propose a novel method for the assessment of the contribution of a single cause to the over-all GNSS positioning error. Proposed method is demonstrated in the case of the GNSS multipath effects, resulting with the experimental predictive model of the direct multipath contribution to GNSS positioning error. The predictive models developed in this research is aimed at deployment in the GNSS positioning performance assessment for GNSS-based applications in transport and telecommunications.


2018 ◽  
Vol 30 (3) ◽  
pp. 305-310
Author(s):  
Mia Filić ◽  
Renato Filjar ◽  
Marko Ševrović

This manuscript analyzes two methods for Global Navigation Satellite System positioning error determination for positioning performance assessment by calculation of the distance between the observed and the true positions: one using the Cartesian 3D rectangular coordinate system, and the other using the spherical coordinate system, the Cartesian reference frame distance method, and haversine formula for distance calculation. The study shows unresolved issues in the utilization of position estimates in geographical reference frame for GNSS positioning performance assessment. Those lead to a recommendation for GNSS positioning performance assessment based on original WGS84-based GNSS position estimates taken from recently introduced data access from GNSS software-defined radio (SDR) receivers.


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