摘要
针对无人机协同定位面临的欺骗干扰状态难以精准识别的问题,提出了一种结合WGAN和信任模型(TM)的欺骗定量识别方法。基于WGAN实现编队受扰状态的快速检测,在此基础上利用编队协同定位信任模型,实现被欺骗无人机精准识别。仿真结果表明,与同类方法比较,所提方法在甄别被欺骗无人机方面,具有较高的精确性和稳定性,并且,在训练阶段无需大量异常样本,在精准甄别阶段也无需新增大量数据交互。
It is difficult to accurately identify the state of deception jamming faced by UAVs during collaborative positioning.To solve the problem a quantitative identification method that combines WGAN with Trust Model(TM)is proposed.Firstly based on WGAN rapid detection of the spoofing state of the UAV formation is realized.Based on this the TM for collaborative positioning is used to realize accurate identification of the spoofed UAV.The simulation results show that compared with similar methods the proposed method has higher accuracy and stability in identifying the spoofed UAV.Moreover this method does not require a large number of abnormal samples in the training stage nor does it need a lot of new data interactions in the precise-screening stage.
作者
魏杨沁
郭庆
许洁
张鹏
邹金霖
WEI Yangqin;GUO Qing;XU Jie;ZHANG Peng;ZOU Jinlin(Equipment Management and Unmanned Aerial Vehicle Engineering School Air Force Engineering University ,Xi'an 710000 China)
出处
《电光与控制》
CSCD
北大核心
2024年第4期49-54,共6页
Electronics Optics & Control
基金
陕西省自然科学基础研究计划资助项目(2023-JC-QN-0769)。
关键词
无人机
协同定位
WGAN
信任模型
防欺骗识别
UAV
collaborative positioning
WGAN
trust model
anti-spoofing identification
