GPS Positioning Algorithms and Regression Models - Clarifying the Brains of GPS
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- Sugimoto Sueo
- Department of Electrical and Electronic Engineering, Ritsumeikan University
Bibliographic Information
- Other Title
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- GPS測位アルゴリズムと回帰モデル ―衛星頭脳を解明する―
- GPSソクイ アルゴリズム ト カイキ モデル エイセイ ズノウ オ カイメイ スル
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Abstract
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.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 130 (1), 110-115, 2010
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204607512064
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- NII Article ID
- 10026227668
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 10539564
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed