Laser & Optoelectronics Progress, Volume. 62, Issue 3, 0306001(2025)

Improved Particle Swarm Path Planning for Ultraviolet Cooperative Drone Penetration

Taifei Zhao1...2,*, Haochen Du1, Yuqi Chen1, Borui Zheng1 and Shuang Zhang1 |Show fewer author(s)
Author Affiliations
  • 1Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
  • 2Key Laboratory of Wireless Optical Communication and Network Research in Xi’an City, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
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    To address the challenge of low-altitude path planning for clusters of unmanned aerial vehicles (UAVs) in military electromagnetic denial environments, a novel approach using ultraviolet light is proposed. This method takes advantage of ultraviolet light's low background noise and all-weather wide field of view, enabling non-line-of-sight communication and maintaining links between UAV clusters by combining a hemispherical multi-input multi-output structure. An improved moderate random particle swarm optimization (MRPSO) algorithm that incorporates dynamic weights is proposed, alongside strategies like antiroulette wheel selection, chaotic distribution factors, and the Metropolis criterion, to enhance global search capabilities and optimize path planning. The simulation results demonstrate that MRPSO outperforms traditional PSO, hybrid inertial traction PSO, and spherical PSO by increasing the success rate of path breakthroughs in radar-free environments by 7.65%, 7.68%, and 29.71%, respectively. In complex radar environments, improvements are more evident, with increases of 18.19%, 14.86%, and 43.99%, respectively. When the algorithm converges, it exhibits low fitness values and notable advantages in convergence rate and optimization stability, demonstrating its effectiveness and versatility across different application scenarios. This study offers a notable contribution for enhancing low-altitude breakthrough path planning of UAVs in electromagnetic denial environments.

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    Taifei Zhao, Haochen Du, Yuqi Chen, Borui Zheng, Shuang Zhang. Improved Particle Swarm Path Planning for Ultraviolet Cooperative Drone Penetration[J]. Laser & Optoelectronics Progress, 2025, 62(3): 0306001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: May. 14, 2024

    Accepted: May. 28, 2024

    Published Online: Feb. 11, 2025

    The Author Email:

    DOI:10.3788/LOP241281

    CSTR:32186.14.LOP241281

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