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A Multi-constellation Positioning Method Based on Optimal Stochastic Modelling

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

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 650))

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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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Acknowledgements

This research was supported by National Key R&D Program of China (2018YFB1201500), The National Natural Science Foundation of China (61703034).

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Correspondence to Wei Jiang .

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Wang, J., Zhou, Z., Jiang, W., Cai, B., Shangguan, W. (2020). A Multi-constellation Positioning Method Based on Optimal Stochastic Modelling. In: Sun, J., Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume I. CSNC 2020. Lecture Notes in Electrical Engineering, vol 650. Springer, Singapore. https://doi.org/10.1007/978-981-15-3707-3_34

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  • DOI: https://doi.org/10.1007/978-981-15-3707-3_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3706-6

  • Online ISBN: 978-981-15-3707-3

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