摘要
针对红外抗干扰评估指标体系存在的冗余现象和缺乏合理性的特点,从红外导引头的固有属性、抗干扰性能指标以及导弹战技性能指标3个角度构建红外抗干扰综合评估指标,通过红外抗干扰实验仿真平台,设置相应干扰量,获取海量数据并对其进行预处理;再利用数据挖掘中的FP增长关联规则算法,对数据进行挖掘分析,得出干扰量与指标之间的关联规则;然后通过这些关联规则的强弱对指标进行简约,去除了冗余项仅保留了核心指标;最后采用BP神经网络对简约后的指标进行了有效性检验,结果验证方法下获取的抗干扰指标更为简洁、高效。
With the continuous development of infrared interference means,it's more and more important to establish a set of scientific,reasonable and concise infrared anti-interference evaluation index system.Aimed at the problems that redundant phenomenon is in existence in infrared anti-interference evaluation index system and there is lacking in rationality,firstly,the evaluation index system of infrared anti-jamming is constructed from the inherent performance index,anti-jamming performance index and missile tactical performance index,and then through the infrared anti-interference experiment simulation platform,set up corresponding disturbance variable is set up,huge amounts of data preprocessing are obtained.Next,the FP-Growth algorithm in data mining is used to mine and analyze the anti-interference experimental simulation data,and the association rules between disturbance variable and indexes are obtained.Finally,the index system is simplified through the strength of these association rules.As a result,the redundant items are removed for the index contracted and the core indexes are in existence.
作者
吴鑫
伍友利
高翔
牛得清
徐洋
WU Xin;WU Youli;GAO Xiang;NIU Deqing;XU Yang(Aeronautic Engineering College,Air Force Engineering University,Xi’an 710038,China;Key Laboratory of Complex Aeronautical System Simulation,Beijing 100076,China;Ultra High Speed Aerodynamic Research Institute,China Aerodynamic Research and Development Center,Mianyang 621000,Sichuan,China)
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2021年第1期99-104,共6页
Journal of Air Force Engineering University(Natural Science Edition)
基金
国家自然科学基金(61973253)。
关键词
红外抗干扰评估指标体系
指标简约
数据挖掘
FP增长算法
关联规则
infrared anti-interference evaluation index system
index contracted
data mining
FP-Growth algorithm
the association rules
