Research on Effective Positioning and Adjustment Scheme Based on Circular UAV Formation

Junnan Zhong; Jiayang Xiao; Honglin Liu

doi:10.54097/97xgkp20

Authors

Junnan Zhong
Jiayang Xiao
Honglin Liu

DOI:

https://doi.org/10.54097/97xgkp20

Keywords:

Drone Formation Positioning, Effective Positioning Area, Multiple Model Adjustments.

Abstract

This article investigates the effective positioning and adjustment of circular drone formations. Firstly, based on the passive reception signal positioning model, an effective positioning model was established, and the number of drones that meet the effective positioning requirements was solved through traversal algorithm. The results indicate that when there is no deviation in the position of the drone transmitting the signal, at least one drone is needed to transmit the signal in addition to the two known drones to achieve effective positioning. Furthermore, this article establishes a formation adjustment model for unmanned aerial vehicles, derives the overall adjustment model and multiple adjustment models through the polar coordinate system point distance formula and cosine theorem, and uses greedy algorithm to solve the adjustment plan. Finally, the effectiveness of the model was verified through Matlab simulation, and the adjusted drone position had a small error compared to the ideal position, indicating that the model can accurately achieve drone formation adjustment with high accuracy and stability.

References

[1] Deng Menglong, Wang Yige, Gao Jiadong, etc. Research on Passive Localization and Adjustment Strategies for UAV Formations [J]. Science and Technology Innovation and Application, 2024, 14 (34): 44-47

[2] Wu Tong, Li Zhan, Zheng Xiaolong, etc. Multi UAV collaborative target tracking based on pure azimuth measurement information [J]. Flight Control and Detection, 2024, 7 (04): 17-25

[3] Liu Gaofeng, Zang Qiuyan, Li Yanshan, etc. A high-precision unmanned aerial vehicle formation pure azimuth passive positioning method [J]. Science and Technology Innovation and Application, 2024, 14 (10): 143-146

[4] Zhao Guangyong, Zhang Yanjun. UAV formation positioning method based on pure azimuth passive positioning [J]. China Broadband, 2023, 19 (08): 91-93

[5] Cheng Yinsong, Li Lin. Overview of Passive Positioning Technology for UAV Formations [J]. China Science and Technology Information, 2024, (24):39-41.

[6] Liu Kai, Li Xiran, Wang Ziteng, etc. Research on Effective Localization of Drones Based on Angle Information [J]. Journal of Henan University of Engineering (Natural Science Edition), 2024, 36 (1): 37-45

[7] Tan Ansheng, Zhu Qingsong, Wang Xinwei, Yin Chengyi. Analysis model of effective area for passive positioning of shipborne unmanned aerial vehicles [J]. Electro optics and Control, 2015, 22 (9): 1-6

[8] Zhao Yanyang, Ding Yixin. Research on pure azimuth passive positioning of unmanned aerial vehicles based on circles in polar coordinates [J]. Electronic Manufacturing, 2024, 32 (04): 32-34

[9] Han Aolin, Sun Ruohan. UAV Position Adjustment Strategy and Simulation Localization Based on Local Optimal Model [J]. Mathematical Modeling and Its Applications, 2023, 12 (01): 69-78+109

[10] Deng Yangyun, Li Wenguang, Ge Jiahao, etc. Research on Multi UAV Collaborative Search and Interference Algorithm [J]. Tactical Missile Technology, 2023, (05):10-18+113.