摘要
在目前的电磁态势预测训练系统中,电磁态势预测算法作为训练辅助对参训人员的行为校正起到重要作用。当前在电磁态势预测方面主要运用Markov预测方法对电磁态势频谱数据进行处理,该方法预测准确率和真实目标值之间存在较大差异。为解决这个问题,提出模糊C聚类方法和Markov预测方法相结合的改进Markov预测算法,并将该方法运用在电磁态势预测模拟训练辅助模块中,可以将预测准确率提升到90%左右,为训练高效、有序的进行提供有力保障。
At present,Markov prediction method is mainly used to process electromagnetic situation spectrum data in electromagnetic situation prediction,and there is significant difference between the prediction accura⁃cy and the true target value of this method.To solve this problem,an improved Markov prediction algorithm combining Fuzzy C clustering method and Markov prediction method is proposed,and the method is applied in the electromagnetic situation prediction simulation training auxiliary module to provide a strong guarantee for efficient and orderly training,and can improve the prediction accuracy to about 90%.
作者
史雨璇
陈永游
张东甲
包军
鲁加战
胡进
仵志鹏
Shi Yuxuan;Chen Yongyou;Zhang Dongjia;Bao Jun;Lu Jiazhan;Hu Jin;Wu Zhipeng(No.8511 Research Institute of CASIC,Nanjing 210007,Jiangsu,China;CASIC Co.,Ltd.,Beijing 100037,China)
出处
《航天电子对抗》
2020年第3期15-18,35,共5页
Aerospace Electronic Warfare
关键词
电磁态势预测
模糊C聚类
改进Markov预测算法
electromagnetic situation prediction
fuzzy C clustering
improved Markov prediction method
作者简介
史雨璇(1993-),男,助理工程师,硕士,主要研究方向为航天电子对抗。
