吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

无人艇保卫目标的仿真技术

金涛, 刘淑芬, 齐红   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2016-04-22 出版日期:2017-01-26 发布日期:2017-02-02
  • 通讯作者: 刘淑芬 E-mail:liusf@mail.jlu.edu.cn

Simulation Technology of Unmanned SurfaceVehicle in Defending Target

JIN Tao, LIU Shufen, QI Hong   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2016-04-22 Online:2017-01-26 Published:2017-02-02
  • Contact: LIU Shufen E-mail:liusf@mail.jlu.edu.cn

摘要: 建立无人艇保卫目标的仿真模型, 先对目标威胁指标进行数字化和无量纲化处理, 然后计算每个可疑目标的加权关联度, 利用灰色关联算法对多个可疑目标进行威胁排序, 从而确定每个可疑目标的威胁程度, 再根据威胁程度进行优先拦截, 解决了无人艇在保卫目标时, 面对多个可疑目标威胁程度的不确定性. 仿真结果表明, 该方法比传统的威胁评估方法更准确, 提高了无人艇保卫目标的可靠性.

关键词: 灰色关联法, 加权关联度, 威胁排序, 无人艇

Abstract: We set up a simulation model of the unmanned surface vehicle in defending target. We first made digital and non\|dimensional processing of the target threat index, and then calculated the weighted correlation degree of each suspicious object. We used the grey correlation algorithm to sort multiple suspicious targets, and then determined the degree of threat about each suspicious target. Unmanned surface vehicle based on the degree of threat to intercept priority to solve the uncertainty of the threat degree of multiple suspicious targets in the simulation environment of the security target. The simulation results show that this method is more accurate than the traditional threat assessment method, and improves the reliability of the unmanned
surface vehicle defending the goal.

Key words: unmanned surface vehicle, weighted correlation degree, grey correlation method, threat of sorting

中图分类号: 

  • TP399