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2020 | OriginalPaper | Buchkapitel

A Multi-constellation Positioning Method Based on Optimal Stochastic Modelling

verfasst von : Jian Wang, Zijian Zhou, Wei Jiang, Baigen Cai, Wei Shangguan

Erschienen in: China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume I

Verlag: Springer Singapore

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Abstract

Recent years, with the continuous improvement of positioning requirements, the inherent deficiency of single constellation positioning is increasingly magnified, the number and distribution of satellites seriously restrict the positioning effect, which impair the availability of the navigation system. In view of this phenomenon, the space-time unification of multi-constellation is carried out to realize the orbit determination error analysis. The weighted least square algorithm is combined with Helmert variance component estimation method to optimize stochastic model, single-constellation dynamic positioning and multi-constellation dynamic positioning are realized respectively in the scene of opening and sheltering. The error and accuracy of the two positioning methods are compared and analyzed to verify the improvement of multi-constellation. The experimental results demonstrate that the orbit errors of the broadcast ephemeris within 10 m. Compared with the traditional single constellation positioning method, the multi-constellation positioning method based on optimal modelling can effectively increase the number of visible satellites, ameliorate the geometric distribution of satellites and improve the positioning accuracy.

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Metadaten
Titel
A Multi-constellation Positioning Method Based on Optimal Stochastic Modelling
verfasst von
Jian Wang
Zijian Zhou
Wei Jiang
Baigen Cai
Wei Shangguan
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-3707-3_34

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