ABSTRACT

This contribution is aimed to show that careful ionospheric modelling can enhance the single-frequency code single point positioning (SPP) performance for both kinematic and static scenarios. Attention is restricted to the SPP quality driven by the IRIM under geomagnetic storm conditions. A Kalman filter-based model is formed for kinematic/static SPP users with which one combines GPS single-frequency code observations with the ionospheric corrections. To demonstrate the SPP quality, experimental datasets of the Iran permanent GPS network are analysed using self-developed software and Bernese5. It is shown how the IRIM improves the SPP performance as compared to the global KIM corrections.

摘要

这一贡献旨在表明，仔细的电离层建模可以提高运动学和静态场景的单频码单点定位 (SPP) 性能。注意力仅限于在地磁风暴条件下由 IRIM 驱动的 SPP 质量。为运动学/静态 SPP 用户形成了一个基于卡尔曼滤波器的模型，该模型将 GPS 单频码观测与电离层校正相结合。为了证明 SPP 质量，使用自主开发的软件和 Bernese5 分析了伊朗永久 GPS 网络的实验数据集。它显示了与全局 KIM 校正相比，IRIM 如何提高 SPP 性能。