Abstract
The emerging Global Navigation Satellite Systems (GNSS) including the BeiDou Navigation Satellite System (BDS) offer more visible satellites for positioning users. To employ those new satellites in a real-time kinematic (RTK) algorithm to enhance positioning precision and availability, a data processing model for the dual constellation of GPS and BDS is proposed and analyzed. A Kalman filter-based algorithm is developed to estimate the float ambiguities for short baseline scenarios. The entire work process of the high-precision algorithm based on the proposed model is deeply investigated in detail. The model is validated with real GPS and BDS data recorded from one zero and two short baseline experiments. Results show that the proposed algorithm can generate fixed baseline output with the same precision level as that of either a single GPS or BDS RTK algorithm. The significantly improved fixed rate and time to first fix of the proposed method demonstrates a better availability and effectiveness on processing multi-GNSSs.
Highlights
Global Navigation Satellite Systems (GNSSs) have been extensively adopted to provide accurate and continuous positioning, navigation and timing (PNT) services on a global scale
BeiDou Navigation Satellite System (BDS) constellation is comprised of five geo-stationary Earth orbit (GEO) satellites, five inclined geosynchronous orbit (IGSO) satellites and four medium Earth orbit (MEO) satellites and will evolve into a constellation with 5 GEOs + 3 IGSOs + 27 MEOs by 2020 to realize its global service [3,4]
A GNSS receiver senses the carrier’s position information, whose precision can be significantly improved with a multitude of carrier phase based techniques among which the real time kinematic (RTK) algorithm is known for its real-time and high-precision features
Summary
Global Navigation Satellite Systems (GNSSs) have been extensively adopted to provide accurate and continuous positioning, navigation and timing (PNT) services on a global scale. High-precision baseline solutions with the same precision level as a sole GPS or BDS RTK method can be obtained by processing the dual-constellation measurements with the proposed model, the percentage of integer ambiguities and fixed baseline in all epochs using double-constellation is higher than using either single constellation, and a shorter convergence time to first fix can be obtained as well This proposed model with implementation details can help the reader to realize his/her own application and can be extended to multi-constellation and multi-frequency scenarios and can be a guidance for future applications which is the main contribution of this research work. A conclusion is drawn and suggestions for future work are presented
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