GPS測位アルゴリズムと回帰モデル: 衛星頭脳を解明する

摘要

GNSS (Global Navigation Satellite Systems) Regression (GR) models are shown. Two kinds of GR models for unknown and known positions are derived. The unified methods of point and relative positioning algorithms are shown based on combining GR models. Further, estimation methods of ionosphere total electron content, and orbit and clock errors of GPS satellites are reviewed by applying GR models and measuerement data at the known positions such as GEONET.%本解説では，グローバル航法衛星システム（GNSS:Global rnNavigation Satellite System）の代表であるGPS（Global rnPositioning System）を用いた測位アルゴリズムとGNSSrn回帰モデルについて記述する。