无线电工程2024，Vol.54Issue(10)：2371-2382,12.DOI:10.3969/j.issn.1003-3106.2024.10.012
基于复合导引头态势的抗干扰评估方法
Anti-jamming Evaluation Method Based on Composite Seeker Situation
摘要
Abstract
To solve the problems of difficulty in obtaining evaluation information and strong subjectivity of anti-jamming party in the evaluation of radar anti-jamming effects,the anti-jamming evaluation index system is established based on the situation change of the active and passive composite seeker as the main line,the position situation perceived by the active seeker and the situation of the seeker itself,as well as the situation information detected by the active/passive seeker from the enemy's active jamming signals.The anti-jamming performance of the seeker is evaluated by using the Sparrow Search Algorithm-Convolutional Neural Network(SSA-CNN)method.When the situation information is missing,the Convolutional Auto-Encoder(CAE)is used to evaluate the anti-jamming effect of the seeker with incomplete information.The simulation results show that two AI algorithms have excellent effectiveness and accuracy in evaluating the anti-jamming performance of the seeker in the complex jamming environment.关键词
复合导引头/干扰态势/抗干扰效果评估/卷积神经网络/卷积自编码器Key words
composite seeker/jamming situation/evaluation of anti-jamming effect/CNN/CAE分类
信息技术与安全科学引用本文复制引用
刘伟强,陈莉,陈文哲,董阳阳,董春曦,李梦瑶..基于复合导引头态势的抗干扰评估方法[J].无线电工程,2024,54(10):2371-2382,12.基金项目
国家自然科学基金(61901332)National Natural Science Foundation of China(61901332) （61901332）
