基于蝙蝠优化极限学习机的Link16在线干扰评估算法  

Online Jamming Evaluation Algorithm of Link16 Based on BA-ELM

作　　者：王冠 康勇 王晖 史言彬 杨银松 WANG Guan;KANG Yong;WANG Hui;SHI Yanbin;YANG Yinsong(Airforce Communication NCO Academy,Dalian 116600,China)

机构地区：[1]空军通信士官学校,辽宁大连116600

出　　处：《电子信息对抗技术》2024年第3期1-7,共7页Electronic Information Warfare Technology

摘　　要：为解决实际作战场景下通信干扰效果评估时效性差、准确率低的问题,提出一种基于蝙蝠优化极限学习机(Bat-inspired Algorithm optimized Extreme Learning Machine,BA-ELM)的在线评估算法。对通信对抗典型作战对象Link16进行分析,为了更全面地评价干扰效果,细化Link16各抗干扰动作,形成完备样本库。通过蝙蝠算法优化极限学习机参数,构建基于BA优化的干扰评估体系。与目前所提主流在线评估算法进行实验比对,验证了所提方法在时效性、准确性上的优势。To solve the problem of poor timeliness and low accuracy of communication jamming effect evaluation in actual combat situations,an online evaluation algorithm based on bat-inspired algorithm optimized extreme learning machine(BA-ELM) is proposed.The analysis is carried out with a typical combat object Link16.In order to evaluate the jamming effect more comprehensively,each anti-jamming action of Link16 is refined to form a complete sample library.The parameters of the ELM are optimized by the BA to construct a jamming evaluation system based on BA optimization.Experimental comparison with the currently proposed mainstream online evaluation algorithm verifies the advantages of the proposed method in terms of timeliness and accuracy.

关 键 词：干扰效果评估 蝙蝠优化 极限学习机 LINK16 

分 类 号：TN97[电子电信—信号与信息处理]