摘要
针对机载火控雷达参数捷变快、实战中无法有效辨识的问题,深入对该类雷达工作模式的参数运用方式研究,提出基于域变换的建模思想,并结合人工智能方法,设计了针对机载火控雷达的工作模式识别框架。仿真结果表明,所提出方法能够准确识别机载火控雷达的四种典型工作模式,提升电子对抗装备及系统的威胁告警能力。
Identification of the working mode of airbrone fire control radars in real combat is challenging because of their high agile parameters.Analysis of the parameter employment in different working modes of airborne fire control radars shows that the domain transformation modeling method can be used to solve the problem.A working mode identification method is proposed in this paper for airborne fire control redars,which employs the domain transformation modeling method and AI method.Simulation results show that the proposed method can identify four typical working modes of airborne fire control radars with high accuracy.Thus,it can be used to improve the threat warning capability of countermeasure equipment and systems.
作者
张生杰
周超
张译方
徐晶
徐才进
邱光辉
ZHANG Shengjie;ZHOU Chao;ZHANG Yifang;XU Jing;XU Caijin;QIU Guanghui(No.29 Research Institute of CETC, Chengdu 610036)
出处
《火控雷达技术》
2022年第1期40-44,共5页
Fire Control Radar Technology
关键词
机载火控雷达
工作模式
人工智能
雷达识别
airborne fire control radar
working mode
AI
radar identification