| UAV penetration mission path planning based on improved holonic particle swarm optimization |
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| 作者姓名： | LUO Jing LIANG Qianchao LI Hao |
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| 作者单位： | 1. College of Power Engineering, Naval University of Engineering;2. Department of Intelligence, Air Force Early Warning Academy |
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| 基金项目： | supported by the National Natural Science Foundation of China (61502522)；;Hubei Provincial Natural Science Foundation(2019CFC897)； |
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| 摘 要： | To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on improved holonic particle swarm optimization(IHPSO). Firstly, the requirements of terrain threat, radar detection, and penetration time in the process of UAV penetration are quantified. Regarding radar threats, a radar echo analysis method based on radar cross section(RCS)and the spatia...
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