Least-squares collocation modelling of regional ionospheric TEC for accelerating real-time single-frequency PPP convergence

• Published in: IET radar, sonar & navigation sonar & navigation, 2019-06, Vol.13 (6), p.1031-1038
• Main Authors: Gong, Yangzhao, Cai, Changsheng, Dai, Wujiao, Zhu, Jianjun
• Format: Article
• Language: English
• Subjects: conventional polynomial model; convergence time; different latitude regions; existing regional ionospheric models; gGlobal ionosphere map‐predicted products; GIM‐predicted products; Global Positioning System; GPS RT SF PPP; ionosphere; ionospheric delay errors; ionospheric electromagnetic wave propagation; ionospheric TEC variations; ionospheric techniques; least‐squares collocation approach; low latitude region; LSC model; LSC RIM; middle latitude region; polynomials; predicted TEC; radiowave propagation; random variable part; real‐time SF PPP; real‐time single‐frequency PPP convergence; regional ionospheric TEC model; regional ionospheric total electron content; Research Article; single‐frequency precise point positioning; squares collocation modelling; TEC's irregular variations; total electron content (atmosphere)
• ISSN: 1751-8784; 1751-8792; 1751-8792
• DOI: 10.1049/iet-rsn.2018.5504

Modelling of the regional ionospheric total electron content (TEC) is an important means for mitigating the ionospheric delay errors in the single-frequency (SF) precise point positioning (PPP). Mostly, the existing regional ionospheric models (RIM) only takes the trend term of the ionospheric TEC variations into account and neglect their random variable part. As a result, the TEC's irregular variations cannot be well modelled. In this study, a regional ionospheric TEC model based on the least-squares collocation (LSC) approach is proposed to account for both the trend and random parts. The predicted TEC from the LSC RIM is then employed in the real-time (RT) SF PPP for speeding up convergence. Datasets collected in two different latitude regions are utilised to establish the LSC RIM with a comparison to the conventional polynomial model and the global ionosphere map (GIM)-predicted products. The results show that the LSC model can remove ionospheric delay errors of at least 92%, which is larger than the polynomial model and GIM products. Further, the GPS RT SF PPP after introducing the predicted TEC from the LSC RIM can significantly reduce the convergence time by at least 48%, 58%, and 5% in the east, north, and up directions.