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TUTCRIS

Improvement of GPS and BeiDou extended orbit predictions with CNNs

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko26th European Navigation Conference, ENC 2018
AlaotsikkoGothenburg, Sweden, 14-17 May, 2018
KustantajaIEEE
Sivut54-59
Sivumäärä6
ISBN (painettu)9781538649626
DOI - pysyväislinkit
TilaJulkaistu - 10 elokuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEuropean Navigation Conference -
Kesto: 20 syyskuuta 2018 → …

Conference

ConferenceEuropean Navigation Conference
Ajanjakso20/09/18 → …

Tiivistelmä

This paper presents a method for improving the accuracy of extended GNSS satellite orbit predictions with convolutional neural networks (CNN). Satellite orbit predictions are used in self-assisted GNSS to reduce the Time to First Fix of a satellite positioning device. We describe the models we use to predict the satellite orbit and present the improvement method that uses CNN. The CNN estimates future prediction errors of our model and these estimates are used to correct our orbit predictions. We also describe how the neural network can be implemented into our prediction algorithm. In tests with GPS and BeiDou data, the method significantly improves orbit prediction accuracy. For example, the 68% error quantile of 7 day orbit prediction errors of GPS satellites was reduced by 45% on average.

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