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Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, GEMTEC Ionospheric Models: A Comparison in Total Electron Content and Positioning Domainsстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 1 мая 2024 г.
- Авторы: Yasyukevich Yury, Zatolokin Dmitry, Padokhin Artem, Wang Ningbo, Nava Bruno, Li Zishen, Yuan Yunbin, Yasyukevich Anna, Chen Chuanfu, Vesnin Artem
- Журнал: Sensors
- Том: 23
- Номер: 10
- Год издания: 2023
- Издательство: MDPI
- Местоположение издательства: Basel, Switzerland
- Номер статьи: 4773
- DOI: 10.3390/s23104773
- Аннотация: Global navigation satellite systems (GNSS) provide a great data source about the ionosphere state. These data can be used for testing ionosphere models. We studied the performance of 9 ionosphere models (Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, GEMTEC) both in the total electron content (TEC) domain—i.e., how precise the models calculate TEC—and in the positioning error domain—i.e., how the models improve single frequency positioning. The whole data set covers 20 years (2000–2020) from 13 GNSS stations, but the main analysis involves data during 2014–2020, when calculations are available from all the models. We used single-frequency positioning without ionospheric correction and with correction by global ionospheric maps (IGSG) data as expected limits for errors. Improve against noncorrected solution were: GIM IGSG—22.0%, BDGIM—15.3%, NeQuick2—13.8%, GEMTEC—13.3%, NeQuickG and IRI-2016—13.3%, Klobuchar—13.2%, IRI-2012—11.6%, IRI-Plas—8.0%, GLONASS—7.3%. TEC bias and mean absolute TEC errors for the models are GEMTEC—−0.3 and 2.4 TECU, BDGIM—−0.7 and 2.9 TECU, NeQuick2—−1.2 and 3.5 TECU, IRI-2012—−1.5 and 3.2 TECU, NeQuickG—−1.5 and 3.5 TECU, IRI-2016—−1.8 and 3.2 TECU, Klobuchar—1.2 and 4.9 TECU, GLONASS—−1.9 and 4.8 TECU, IRI-Plas—3.1 and 4.2 TECU. While TEC and positioning domains differ, new-generation operational models (BDGIM and NeQuickG) could overperform or at least be at the same level as classical empirical models.
- Добавил в систему: Падохин Артем Михайлович