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16 August 2023 UAV formation method based on triposition positioning model
Shuang Zhong, Bing Zhong, Hedan Liu, Jianxin Ye, Mengzhen Xu
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Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 1278722 (2023) https://doi.org/10.1117/12.3004617
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China
Abstract
With the development of technology, UAV formation gradually appears in people's view. During the formation process, the UAV can obtain height information through its own perception, thus, the UAV formation problem is downscaled and the UAV is localised. In this paper, the position coordinates of the UAV are obtained through the Triposition positioning algorithm, using geometric relations, after which the UAV is distributed on a circle by adjusting the edges, and later the UAV is adjusted to the ideal position by adjusting the angle. The experimental results ultimately show that the algorithm is robust under large angular errors and can be better combined to become a signal localisation system in larger UAV formations, thus maintaining the operational capability and stability of communication transmissions in large UAV formations.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Shuang Zhong, Bing Zhong, Hedan Liu, Jianxin Ye, and Mengzhen Xu "UAV formation method based on triposition positioning model", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 1278722 (16 August 2023); https://doi.org/10.1117/12.3004617
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KEYWORDS
Unmanned aerial vehicles
Detection and tracking algorithms
Formation flying
Radar
Ranging
Reliability
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