Survey Review ( IF 1.6 ) Pub Date : 2020-01-12 , DOI: 10.1080/00396265.2019.1711346 Berkay Bahadur 1 , Metin Nohutcu 1
The main objective of this study is to investigate the impact of observation sampling rate on the PPP performance, in terms of positioning accuracy and convergence time, under different multi-GNSS combinations. For this purpose, daily observation datasets collected at ten IGS-MGEX (International GNSS Service-Multi-GNSS Experiment) stations during the 1-week period of January 6-12, 2019 with 1-s, 5-s,15-s, and 30-s sampling rates were processed under three different PPP processing modes, namely GPS-only, GPS/GLONASS and multi-GNSS. The results indicate that the use of high-rate observation sampling improves the PPP performance for all processing modes significantly. The contribution of increasing sampling rate, both for positioning error and convergence time, is more prominent in shorter periods, especially within the first 30 min for all processing modes. Finally, the multi-GNSS processing mode with the 1-s observation sampling rate has the best PPP performance and offers a considerable prospect for the GNSS applications.
中文翻译:
观测采样率对Multi-GNSS静态PPP性能的影响
这项研究的主要目的是研究在不同的多GNSS组合下,定位精度和收敛时间方面的观测采样率对PPP性能的影响。为此,在2019年1月6日至12日的1周期间,在10个IGS-MGEX(国际GNSS服务-多GNSS实验)站上收集了每日观测数据集,分别为1-s,5-s,15-s,在30种采样率下,仅在GPS,GPS / GLONASS和multi-GNSS这三种不同的PPP处理模式下进行处理。结果表明,使用高速率观察采样可以显着提高所有处理模式的PPP性能。在较短的时间内,增加采样率对定位误差和收敛时间的贡献更为明显,特别是在所有处理模式的前30分钟内。最后,具有1-s观测采样率的多GNSS处理模式具有最佳的PPP性能,并为GNSS应用提供了可观的前景。