Assessing the performance of BDS-3 for multi-GNSS static and kinematic PPP-AR

As of 2021, a total of four different GNSS constellations – namely, GPS, GLONASS, Galileo, and BDS-3 – can be used with Full Operational Capability (FOC). In this work, the contribution of BDS-3 FOC to GPS + GLONASS + Galileo (GRE) PPP-AR is investigated, considering the three different cut-off angles (7°, 30°, and 45°) and different lengths of static observation sessions (24-, 12-, 6-, 3-, 1-, 0.5-, 0.25-hour). The data of 31 IGS-MGEX stations is processed with GRE PPP-AR and GREC3 (GPS + GLONASS (using float mode) + Galileo + BDS-3) PPP-AR modes. The results showed that BDS-3 degraded the horizontal (except for 24-h sessions) and vertical accuracy of static GRE PPP-AR solutions regardless of the elevation cutoff angle and observation time. The kinematic results showed that BDS-3 significantly contributed to the accuracy of GRE kinematic PPP-AR for 30° and 45° cutoff angles. The convergence time analysis showed that BDS-3 only contributes to GRE kinematic PPP-AR for the vertical component.     

一种改进的模糊度子集选取方法及其性能评估

模糊度固定（ambiguity resolution, AR）能在一定程度上加快精密单点定位收敛并提高定位精度。但是模糊度固定率和计算效率会随模糊度数量的增加而降低，因此部分模糊度固定（partial ambiguity resolution, PAR）备受关注。PAR技术的关键在于模糊度子集选取，提出了一种改进的模糊度子集选取法，将高度角、信噪比以及模糊度方差联合作为模糊度子集选取的指标。实验结果表明：静态模式下，相比于全模糊度固定（full ambiguity resolution, FAR）和基于高度角的PAR方法，该方法的固定率分别提升9.65%和2.56%，首次固定时间分别缩短6.86%和3.43%，收敛时间分别缩短15.57%和5.13%，当三种方法固定率大致相同时，定位精度分别提升4.74%和5.39%；动态模式下，该方法的固定率分别提升22.75%和0.92%，首次固定时间分别缩短12.44%和0.44%，当三种方法固定率大致相同时，定位精度分别提升3.50%和4.89%。总体而言，无论是在静态还是动态模式下，该方法相比于FAR和基于高度角的PAR方法，性能均有所提升。