<b>Prediction of Regional Ionospheric Models with AR Model for GNSS Positioning in Japan</b>

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  • Prediction of Regional Ionospheric Models with AR Model for GNSS Positioning in Japan

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Abstract

In this paper, the ionospheric models for GNSS (Global Navigation Satellite System) positioningin the local area like as Japan are investigated and the prediction models are discussed. The ionosphericdelay is modeled by applying SCHA (Spherical Cap Harmonic Analysis). It is well knownthat the ionosphere varies according to solar activity. Therefore, ionospheric effect on GNSS positioningvaries with not only the position but also the local time, and it has a periodicity. The periodiccharacteristics of the ionosphere are investigated by SCHA ionospheric models. The purpose of thisresearch is to predict the ionospheric delay model for the real time positioning. Based on our investigation,the ionospheric delays are predicted with AR (Auto-Regression) model. Furthermore thecapability for ionospheric model prediction is discussed. In the experiments, the proposed predictionmodels are compared with Klobuchar model.

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