Statistical Physics Method for Multi-base Multi-UAV Cooperative Reconnaissance Mission Planning

被引:0
|
作者
Shi, Zhong [1 ]
Huang, Xuexiang [1 ]
Hua, Yuming [1 ]
Xu, Dezhen [1 ]
机构
[1] Beijing Inst Tracking & Telecommun Technol, Beijing, Peoples R China
关键词
multi-UAV; reconnaissance; mission planning; time interval; statistical physics method; small world network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the environment of battlefield is increasingly complex, single UAV(Unmanned Aerial Vehicle) has problem in reconnaissance mission, which needs cooperative reconnaissance of multi-UAV. However, the multi-UAV cooperative reconnaissance mission planning has trouble in searching the excellent solution, because of its large searching space but sparse solution space. Heuristic algorithm, which is widely used in multi-UAV cooperative reconnaissance mission planning at present, is difficult to find a reliable initial solution, limiting the rate of convergence. Aiming at this problem, this paper proposes the statistical physics method: the small world network and probability field fractal method to present the initial planning scheme, and the sequential kernel function method to adjust the planning scheme. Finally, according to the simulation results, statistical physics method can solve the problem effectively, and is a highly efficient way.
引用
收藏
页码:64 / 68
页数:5
相关论文
共 50 条
  • [1] Multi-base multi-UAV cooperative reconnaissance path planning with genetic algorithm
    Cao, Yan
    Wei, Wanyu
    Bai, Yu
    Qiao, Hu
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 3): : S5175 - S5184
  • [2] Multi-base multi-UAV cooperative reconnaissance path planning with genetic algorithm
    Yan Cao
    Wanyu Wei
    Yu Bai
    Hu Qiao
    [J]. Cluster Computing, 2019, 22 : 5175 - 5184
  • [3] Multi-base Multi-UAV Cooperative Patrol Route Planning Novel Method
    Yang, Jie
    Xi, Jianxiang
    Wang, Cheng
    Xie, Xueli
    [J]. PROCEEDINGS 2018 33RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2018, : 688 - 693
  • [4] A Novel Method for Multi-UAV Cooperative Reconnaissance Mission Planning in Denied Environment
    Liu, Jingyu
    Liu, Yanfei
    Cong, Mingzhi
    Wang, Zhong
    Wang, Jieling
    [J]. 2021 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND INTELLIGENT CONTROLS (ISCSIC 2021), 2021, : 1 - 5
  • [5] OPTIMIZATION AND IMPROVEMENT FOR MULTI-UAV COOPERATIVE RECONNAISSANCE MISSION PLANNING PROBLEM
    Yang, Wei-Long
    Lei, Luo
    Deng, Jing-Sheng
    [J]. 2014 11TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2014, : 10 - 15
  • [6] Multi-UAV cooperative reconnaissance mission planning novel method under multi-radar detection
    Shi, Yongjian
    Liu, Yanfei
    Ju, Bingchen
    Wang, Zhong
    Du, Xingceng
    [J]. SCIENCE PROGRESS, 2022, 105 (02)
  • [7] Multi-UAV Mission Planning Method
    Huang, Tianyu
    Wang, Yue
    Cao, Xiaowen
    Xu, Dongfang
    [J]. PROCEEDINGS OF 2020 3RD INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2020, : 325 - 330
  • [8] Genetic algorithm based approach for multi-UAV cooperative reconnaissance mission planning problem
    Tian, Jing
    Shen, Lincheng
    Zheng, Yanxing
    [J]. FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2006, 4203 : 101 - 110
  • [9] A New Method for Multi-UAV Cooperative Mission Planning Under Fault
    Shao, Shikai
    Li, Houzhen
    Zhao, Yuanjie
    Wu, Xiaojing
    [J]. IEEE ACCESS, 2023, 11 : 52653 - 52667
  • [10] Cooperative coverage reconnaissance of Multi-uav
    Wang, Tao
    Li, Meng
    Zhang, Ming-yi
    [J]. PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 1647 - 1651