A simply constructed index is generally wanted to give direct indication of ionospheric status for Space-based augmentation system (SBAS) users. To this end, we make extensive analysis of ionospheric grid model performance under typical ionospheric storms. It was found that ionospheric delay gradients, instead of delays itself, are the main contributors for larger model errors. This feature makes indexes, which are defined on delay temporal variations, not preferred candidates for ionospheric condition indicating. A new index based on mean ionospheric delay gradients is then proposed and its applicability is analyzed. Results shows its consistence with grid model error variations, and the readily found threshold. Further analysis points out indexes based on delay spatial gradients, instead of temporal variations, is the key to construct sensible indicator for ionosphere status for SBAS.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Ionospheric Disturbance Index for SBAS Based on Gradient Variation


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yang, Changfeng (Herausgeber:in) / Xie, Jun (Herausgeber:in) / Liu, Dun (Autor:in) / Wang, Yan (Autor:in) / Xu, Na (Autor:in) / Chen, Li (Autor:in) / Wang, Huafeng (Autor:in)

    Kongress:

    China Satellite Navigation Conference ; 2022 ; Beijing, China May 22, 2022 - May 25, 2022



    Erscheinungsdatum :

    10.05.2022


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    An Ionospheric Disturbance Index for SBAS Based on Gradient Variation

    Liu, Dun / Wang, Yan / Xu, Na et al. | TIBKAT | 2022


    Modeling of Ionospheric Delay for SBAS Using Spherical Harmonics Functions

    Deokhwa Han / Ho Yun / Changdon Kee | DOAJ | 2013

    Freier Zugriff

    Reexamining Low-Latitude Ionospheric Error Bounds: An SBAS Approach for Brazil

    Marini-Pereira, Leonardo / Pullen, Sam P. / de Oliveira Moraes, Alison | IEEE | 2021



    DFMC SBAS Approach Concept

    Mabilleau, Mikael / De Sousa, Ricardo / Dennis, Joseph et al. | British Library Conference Proceedings | 2021