2021Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its ApplicationsOpen access

Precise Point Positioning Algorithms based on GR models by applying CLAS

Katsumasa Miyatake, Kento Suzuki, Yukihiro Kubo, Sueo Sugimoto

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Abstract

In this paper, we describe a method of applying CLAS (Centimeter Level Augmentation Service) correction data distributed from QZSS (Quasi-zenith Satellite System) to the algorithm based on our GR (GNSS Regression) models for double frequency PPP of GNSS (Global Navigation Satellite System). Finally, we show the positioning results by applying our algorithms for using actual mesurement data.

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What this paper is about

In this paper, we describe a method of applying CLAS (Centimeter Level Augmentation Service) correction data distributed from QZSS (Quasi-zenith Satellite System) to the algorithm based on our GR (GNSS Regression) models for double frequency PPP of GNSS (Global Navigation Satellite System). Finally, we show the positioning results by applying our algorithms for using actual mesurement data.

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Available abstract

In this paper, we describe a method of applying CLAS (Centimeter Level Augmentation Service) correction data distributed from QZSS (Quasi-zenith Satellite System) to the algorithm based on our GR (GNSS Regression) models for double frequency PPP of GNSS (Global Navigation Satellite System). Finally, we show the positioning results by applying our algorithms for using actual mesurement data.

Key concepts: GNSS applications, Quasi-Zenith Satellite System, Satellite system, Precise Point Positioning, Computer science, Algorithm, Point (geometry), Satellite

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