首页    期刊浏览 2024年07月09日 星期二
登录注册

文章基本信息

  • 标题:Fuzzy recognition of missile borne multi-line array infrared detection based on size calculating
  • 本地全文:下载
  • 作者:Bing-shan Lei ; Jing Li ; Wei-na Hao
  • 期刊名称:Defence Technology
  • 印刷版ISSN:2214-9147
  • 出版年度:2021
  • 卷号:17
  • 期号:4
  • 页码:1135-1142
  • DOI:10.1016/j.dt.2020.06.004
  • 出版社:Elsevier B.V.
  • 摘要:In order to improve the infrared detection and discrimination ability of the smart munition to the dynamic armor target under the complex background, the multi-line array infrared detection system is established based on the combination of the single unit infrared detector. The surface dimension features of ground armored targets are identified by size calculating solution algorithm. The signal response value and the value of size calculating are identified by the method of fuzzy recognition to make the fuzzy classification judgment for armored target. According to the characteristics of the target signal, a custom threshold de-noising function is proposed to solve the problem of signal preprocessing. The multi-line array infrared detection can complete the scanning detection in a large area in a short time with the characteristics of smart munition in the steady-state scanning stage. The method solves the disadvantages of wide scanning interval and low detection probability of single unit infrared detection. By reducing the scanning interval, the number of random rendezvous in the infrared feature area of the upper surface is increased, the accuracy of the size calculating is guaranteed. The experiments results show that in the fuzzy recognition method, the size calculating is introduced as the feature operator, which can improve the recognition ability of the ground armor target with different shape size.
  • 关键词:Multi-line array infrared detection ; Size calculating ; Custom threshold de-noising ; Fuzzy comprehensive discrimination algorithm
国家哲学社会科学文献中心版权所有