摘要
针对通信对抗多源传感器获取的通信网络信息挖掘问题,对通信信号外部技术特征和内涵信息进行形式化表示,根据传感器处理信息深度建立了域数据模型。深入分析了通信信息数据挖掘准备的方法,基于域数据模型和粗糙集理论,采用决策表分解知识发现的方法提取规则,对复杂通信网络信息挖掘过程进行了基于规则的非机理指示建模,按信号体制分类对通信网络信息挖掘模型进行组织,构建了基于规则的知识系统,应用粗糙集理论和方法实现了通联关系的挖掘,并提出了对数据挖掘模型的评价方法。
Aiming at the problem of the mining method of communication network information about the multi-source data of communication countermeasure,external technical features and connotation information are represented by formulae.According to the depth of the sensor processing information,the domain data model is established.The method of data mining preparation of communication information is deeply analyzed.On the basis of the domain data model and Rough Set theory,the rules are extracted by the method that decomposes the knowledge by the decision table.The information mining process of complex communication network is modeled based on non-mechanism rules.The communication network information mining model is organized according to the classification of the signal transmitting system.Knowledge system based on rule is constructed.The communication relationship is mined based on rough set theory and method.And the evaluation method of data mining model is analyzed.
出处
《无线电工程》
2017年第5期1-5,共5页
Radio Engineering
基金
河北省重大科技成果转化专项基金资助项目(14040322Z)
关键词
通信对抗
多源传感器
粗糙集
域数据模型
网络信息挖掘
决策表分解
communication countermeasure
multi-source sensor
rough set
domain data model
network information mining
decomposition of decision talbe
