基于GA-ELM的通信干扰效果在线评估方法研究  

GA-ELM Based Online Evaluation of Jamming Effect in Communication Countermeasure

作　　者：汪慧阳 刘松涛[1] 赵帅 WANG Huiyang;LIU Songtao;ZHAO Shuai(Department of Information System,Dalian Naval Academy,Dalian 116000,China)

机构地区：[1]海军大连舰艇学院信息系统系,辽宁大连116000

出　　处：《电光与控制》2021年第12期71-75,80,共6页Electronics Optics & Control

基　　金：博士后基金(2015M572694,2016T90979)。

摘　　要：针对传统的通信对抗干扰效果评估方法无法在战时进行实时评估的问题,提出一种基于GA-ELM的在线评估方法。以Link-16为干扰研究对象,首先分析选取其抗干扰行为参数,建立样本库,之后利用极限学习机(ELM)对样本参数进行分类学习,同时使用改进的遗传算法(GA)优化ELM,得到GA-ELM模型。实验结果表示,使用GA-ELM在线评估方法,以抗干扰行为参数为依据,能够得出干扰效果在线评估结果。新方法克服了传统方法无法应用于战时的缺点,更加贴近实战。Traditional methods for jamming effect evaluation in communication countermeasure cannot be applied to real-time evaluation in wartime.To solve the probleman online evaluation method based on GA-ELM is proposed.Link-16 is taken as the research object.Firstlythe parameters of its anti-jamming behavior are analyzed and selected to build a sample library.ThenELM is used to learn the sample parameters after classificationand the improved GA is used to optimize ELMso that the GA-ELM model is obtained.Experimental results show that GA-ELM can obtain online evaluation results of jamming effect based on the parameters of anti-jamming behavior.The new method overcomes the shortcoming of the traditional methodsand is more close to actual combat.

关 键 词：通信对抗 干扰效果 在线评估 极限学习机 遗传算法 

分 类 号：TN975[电子电信—信号与信息处理]