摘要
光电战由电子战中光电对抗技术的迭代发展而来,向智能化光电对抗方向发展。在传统光电对抗下采用机器学习算法、智能化语音人机交互方式和健康管理系统(PHM)相结合,构建识别交互、任务反馈、辅助决策和效能评估的闭环系统,形成具备认知智能化的光电战。在分析光电战的内涵时,对比概念分析,阐述出认知智能化光电战概念。最后提出了认知智能化光电战的系统功能架构,并提出未来光电战的发展方向,为现阶段光电对抗发展突破瓶颈提供了借鉴思路。
Electro-optical warfare develops from the iterative development of electro-optical countermeasure technology in electronic warfare, which is toward the trend of intelligence electro-optical countermeasure. The combination of machine learning algorithms, intelligence voice human-computer interaction and prognostics and health management(PHM) under traditional electro-optical countermeasure is adopted. A closed-loop system for identifying interaction, task feedback, assisted decision-making and effectiveness evaluation is built to form a cognitive intelligence electro-optical warfare. Based on the analysis of the connotation of the electro-optical warfare, comparing with the difference between two concepts, the concept of cognitive intelligence electro-optical warfare is introduced.The system function structure of cognitive intelligence electro-optical warfare is introduced, and the development of electro-optical warfare is proposed, which provides reference for the breakthroughs of the development of electro-optical countermeasure.
作者
张圣仟
刘晓敏
ZHANG Sheng-qian;LIU Xiao-min(Academy of Opto-Electronic,China Electronic Technology Group Corporation(AOE CETC),Tianjin 300308,China)
出处
《光电技术应用》
2020年第3期8-11,共4页
Electro-Optic Technology Application
关键词
智能化
人机交互
PHM
光电对抗
intelligence
human-computer interaction
prognostics health management(PHM)
electro-optical countermeasure
