Abstract
Aiming at the problem that the availability of BeiDou system (BDS) is reduced or even unavailable in urban canyon and complex mountain environment, the improvement of BDS observation geometry augmented by near-space balloons is researched. Firstly, the formula for assessing the observation configuration of BDS augmented by near-space balloons is derived, then the observation configuration variation of BDS at different elevations in typical regions is analysed, and the improvement of the GDOP of BDS augmented by different numbers of near-space balloons is compared, finally, the GDOP value only by near-space balloons in the independent position mode is calculated. The research shows the GDOP of BDS varies within 50 in Beijing and there are less than 4 visible BDS satellites in some epochs in Kashi when the minimum observation elevation is 50º. The availability and the observation configuration of BDS are improved by combining with near-space balloons. The GDOP is improved by 18.75% combining with one balloon at 35 km of the user's zenith, improved by 62.78% combining with three evenly distributed balloons, and improved by 66.67% combining with four networking balloons in Beijing. When the four networking balloons work in the independent position mode, the GDOP value is 1.73 in geometric visibility and 6.66 with the minimum observation elevation of 50°. The results provide theoretical support for the positioning research of BDS augmented by airborne or near-space platforms.
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Acknowledgment
This work was partially supported by Youth Innovation Promotion Association, CAS (2022126), State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM (NO. 2021-01-07).
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Yang, Z. et al. (2022). Observation Geometry Improvement of BDS by Near-Space Balloons in Regional Navigation Augmentation. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_13
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DOI: https://doi.org/10.1007/978-981-19-9195-0_13
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