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An effective automatic processing engine for improving the multi-GNSS constellation precise orbit prediction
GPS Solutions ( IF 4.9 ) Pub Date : 2024-02-15 , DOI: 10.1007/s10291-024-01618-6
Xinghan Chen , Maorong Ge , Xiang Zuo , Harald Schuh

Orbit prediction (OP) recently tends to be a very crucial step for supporting real-time GNSS orbit services due to the dynamic stability of navigation satellite orbits. The OP performance depends on the length of the predicted orbits and the accuracy of precise orbit determination (POD) as basis. Considering this, a new automatic processing engine is established for improving the multiple global navigation satellite systems (multi-GNSS) constellation OP performance. From the architecture-oriented high-performance parallel processing perspective, the multi-node and multi-core computer sources are fully exploited to implement the hourly update of the current multi-GNSS POD. For MEO-type satellites (e.g., Galileo satellites), the accuracy of predicted orbits is improved from 3.8 cm, 6.5 cm, and 12.3 cm to 3.5 cm, 4.3 cm, and 6.3 cm, in the radial, cross, and along directions, respectively, compared to the three-hour POD update. Despite the shortened OP length, the OP performance of regional navigation satellite system (RNSS) satellites is still limited due to their regional observability. The BDS-IGSO and QZSS-IGSO satellitesexhibit radial directional orbital errors of up to 36.9 cm and 28.9 cm, respectively. Therefore, an orbit fitting (OF) processing method with orbit reconstruction is implemented into the processing engine. By utilizing this method, the radial orbital errors for BDS-IGSO and QZSS-IGSO satellites can be reduced to 7.0 cm and 10.4 cm, respectively. The mean real-time positioning errors are thus reduced from 28.3 to 18.4 cm and from 24.4 to 18.2 cm in the horizontal and vertical components, respectively.



中文翻译:

提高多GNSS星座精确轨道预测的有效自动处理引擎

由于导航卫星轨道的动态稳定性,轨道预测(OP)最近往往成为支持实时 GNSS 轨道服务的非常关键的一步。 OP性能取决于预测轨道的长度和作为基础的精密定轨(POD)的精度。考虑到这一点,建立了一个新的自动处理引擎来提高多全球导航卫星系统(multi-GNSS)星座OP性能。从面向架构的高性能并行处理的角度出发,充分利用多节点、多核的计算机资源,实现当前多GNSS POD的每小时更新。对于MEO型卫星(如伽利略卫星),预测轨道精度在径向、横向和沿向上从3.8厘米、6.5厘米和12.3厘米提高到3.5厘米、4.3厘米和6.3厘米,分别与三小时的 POD 更新相比。尽管OP长度缩短,但区域导航卫星系统(RNSS)卫星的OP性能由于其区域可观测性仍然受到限制。 BDS-IGSO 和 QZSS-IGSO 卫星的径向定向轨道误差分别高达 36.9 厘米和 28.9 厘米。因此,在处理引擎中实现了具有轨道重建的轨道拟合(OF)处理方法。利用该方法,BDS-IGSO和QZSS-IGSO卫星的径向轨道误差可分别降低至7.0 cm和10.4 cm。因此,水平和垂直分量的平均实时定位误差分别从 28.3 厘米减少到 18.4 厘米,从 24.4 厘米减少到 18.2 厘米。

更新日期:2024-02-16
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