Method and Validation of Real‐Time Global Ionosphere Modeling Constraint by Multi‐Source GNSS/LEO Data

IF 3.7 2区 地球科学 Space Weather Pub Date : 2024-04-01 DOI:10.1029/2023sw003800
Jun Chen, X. Ren, Guozhen Xu, Peng-Cheng Yang, Hang Liu, Xiaohong Zhang
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Abstract

This study applies the zero‐differenced integer ambiguity method, named PPP‐Fixed, to extract real‐time ionospheric data and eliminate the latencies of rapid/final Global Ionosphere Maps (GIMs). The PPP‐Fixed method is also used to derive ionospheric data for post‐processed GIM generation, named SGG Post‐GIM, combined with low earth orbit satellite data. The obtained hardware delays are applied to revise real‐time ionospheric data. Meanwhile, the estimated multi‐source ionospheric model is regarded as historical data to estimate an ionospheric prediction model for constraint using the semi‐parameter model. Then, the Kalman filter is employed to estimate the parameters to generate real‐time GIM. Finally, the accuracy of estimated real‐time GIM, named SGG RT‐GIM, and SGG Post‐GIM is assessed. During the experimental period, the mean differences of SGG Post‐GIM and SGG RT‐GIM relative to GIMs provided by the international Global Navigation Satellite System service, named IGSG, are −0.46 and −0.57 Total Electron Content Unit (TECU), respectively. The corresponding Root Mean Square (RMS) values are 1.64 and 3.08 TECU. Over the test period, the mean positioning errors of the single‐frequency precise point positioning corrected by IGSG, SGG Post‐GIM, SGG RT‐GIM, and Klobuchar model are 0.14, 0.19, 0.21, and 0.25 m in the horizontal direction, respectively, while the corresponding errors are 0.36, 0.33, 0.38, and 0.64 m in the up direction. Further, the mean biases of experimental days for the self‐consistency assessment are 0.06, −0.01, and −0.07 TECU for IGSG, SGG Post‐GIM, and SGG RT‐GIM, respectively. The corresponding RMS values are 1.19, 1.15, and 1.57 TECU.
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利用多源 GNSS/LEO 数据进行实时全球电离层建模约束的方法与验证
本研究采用零差分整数模糊法(PPP-Fixed)提取实时电离层数据,消除快速/最终全球电离层地图(GIM)的延迟。PPP-Fixed 方法还用于获取电离层数据,以便结合低地球轨道卫星数据生成后处理全球电离层图(SGG Post-GIM)。获得的硬件延迟用于修订实时电离层数据。同时,将估算的多源电离层模型视为历史数据,利用半参数模型估算电离层预测模型以进行约束。然后,利用卡尔曼滤波器估计参数,生成实时 GIM。最后,评估估计的实时 GIM(SGG RT-GIM 和 SGG Post-GIM)的准确性。在实验期间,SGG Post-GIM 和 SGG RT-GIM 相对于国际全球导航卫星系统服务(IGSG)提供的 GIM 的平均差异分别为-0.46 和-0.57 总电子含量单位(TECU)。相应的均方根(RMS)值分别为 1.64 和 3.08 TECU。在测试期间,经 IGSG、SGG Post-GIM、SGG RT-GIM 和 Klobuchar 模型校正的单频精确点定位的平均定位误差在水平方向上分别为 0.14、0.19、0.21 和 0.25 米,而相应误差在向上方向上分别为 0.36、0.33、0.38 和 0.64 米。此外,IGSG、SGG Post-GIM 和 SGG RT-GIM 的自洽性评估实验日平均偏差分别为 0.06、-0.01 和 -0.07 TECU。相应的均方根值分别为 1.19、1.15 和 1.57 TECU。
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