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題名 A MARS-based method for estimating regional 2-D ionospheric VTEC and receiver differential code bias
作者 甯方璽
Kao, Szu-Pyng ; Chen, Yao-Chung ; Ning, Fang-Shii
貢獻者 地政系
關鍵詞 GNSS;VTEC;Ionosphere;DCB;MARS
日期 2013.11
上傳時間 24-Jan-2014 17:21:36 (UTC+8)
摘要 The geometry-free linear combination of dual-frequency GNSS reference station ground observations are currently used to build the Vertical Total Electron Content (VTEC) model of the ionosphere. As it is known, besides ionospheric delays, there are differential code bias (DCB) of satellite (SDCB) and receiver (RDCB) in the geometry-free observation equation. The SDCB can be obtained using the International GNSS Service (IGS) analysis centers, but the RDCB for regional and local network receivers are not provided. Therefore, estimating the RDCB and VTEC model accurately and simultaneously is a critical factor investigated by researchers. This study uses Multivariate Adaptive Regression Splines (MARS) to estimate the VTEC approximate model and then substitutes this model in the observation equation to form the normal equation. The least squares method is used to solve the RDCB and VTEC model together. The research findings show that this method has good modeling effectiveness and the estimated RDCB has good reliability. The estimated VTEC model applied to GPS single-frequency precise point positioning has better positioning accuracy in comparison to the IGS global ionosphere map (GIM).
關聯 Advances in Space Research, 53(2),190-200
資料類型 article
dc.contributor 地政系en_US
dc.creator (作者) 甯方璽zh_TW
dc.creator (作者) Kao, Szu-Pyng ; Chen, Yao-Chung ; Ning, Fang-Shiien_US
dc.date (日期) 2013.11en_US
dc.date.accessioned 24-Jan-2014 17:21:36 (UTC+8)-
dc.date.available 24-Jan-2014 17:21:36 (UTC+8)-
dc.date.issued (上傳時間) 24-Jan-2014 17:21:36 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/63578-
dc.description.abstract (摘要) The geometry-free linear combination of dual-frequency GNSS reference station ground observations are currently used to build the Vertical Total Electron Content (VTEC) model of the ionosphere. As it is known, besides ionospheric delays, there are differential code bias (DCB) of satellite (SDCB) and receiver (RDCB) in the geometry-free observation equation. The SDCB can be obtained using the International GNSS Service (IGS) analysis centers, but the RDCB for regional and local network receivers are not provided. Therefore, estimating the RDCB and VTEC model accurately and simultaneously is a critical factor investigated by researchers. This study uses Multivariate Adaptive Regression Splines (MARS) to estimate the VTEC approximate model and then substitutes this model in the observation equation to form the normal equation. The least squares method is used to solve the RDCB and VTEC model together. The research findings show that this method has good modeling effectiveness and the estimated RDCB has good reliability. The estimated VTEC model applied to GPS single-frequency precise point positioning has better positioning accuracy in comparison to the IGS global ionosphere map (GIM).en_US
dc.format.extent 1989779 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Advances in Space Research, 53(2),190-200en_US
dc.subject (關鍵詞) GNSS;VTEC;Ionosphere;DCB;MARSen_US
dc.title (題名) A MARS-based method for estimating regional 2-D ionospheric VTEC and receiver differential code biasen_US
dc.type (資料類型) articleen