Abstract
We developed and validated a pseudo-range correction (PRC) modeling system that can prevent degradation of positioning accuracy even in situations where one cannot obtain PRC messages for Differential Global Navigation Satellite System (DGNSS). A PRC modeling scheme was devised based on the repeat time of GNSS satellites and previously-collected PRC data. The difference between the modeled and real PRC values observed at the reference station showed a bias error of about ±1.0 m and a root mean square error (RMSE) less than 1.5 m. When we applied the predicted PRC to Differential Global Positioning System (DGPS) and Differential BeiDou (DBDS) positioning, horizontal RMSE values were at a level of 1.0 m, while vertical RMSE was in the range of 1.8–3.0 m. We found that modelled PRCs can provide positioning results similar to those based on real PRCs and can provide significant improvement over standalone positioning without PRCs.
Highlights
Global Navigation Satellite System (GNSS) users can select an optimal data processing technique according to the required positioning accuracy, data processing time, etc
Differential GNSS (DGNSS) positioning algorithms are considered as a critical component of sensor fusion for autonomous vehicle navigation [1,2,3]
Accuracy of the vertical component improved by about 70% compared to positioning results without pseudo-range correction (PRC)
Summary
Global Navigation Satellite System (GNSS) users can select an optimal data processing technique according to the required positioning accuracy, data processing time, etc. The Differential GNSS (DGNSS) technique using pseudo-range correction (PRC) has been widely used in a number of fields because it can improve positioning accuracy in real time using a low-cost receiver. ~1.0 m, those two methods require PRC observations collected right before modelling starts, and work only for a relatively short period of time after data loss For this reason, we devised an algorithm with which one can obtain PRC estimates at any desired epoch through a simple mathematical formula. PRC parameters per satellite are calculated using past PRC data and the orbital period of the satellite Using these parameters, we predict PRC values for a single day, and we analyze their accuracy by comparing them with real values generated at the reference station. DGNSS positioning accuracy was evaluated using predicted PRC
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