摘要
干扰信息挖掘效果受到干扰信息判断位置差异率的影响,准确率较低,由此提出一种新的舰船自组网通信网络大数据干扰信息挖掘方法,对干扰信息存在的不同特征进行特征数据提取,根据提取后的信息完整再现干扰数据存在的位置,并根据获取的定位信息匹配挖掘步骤,同时调整挖掘的方向,检验挖掘算法的操作合理性,最终获取良好的挖掘效果。实验结果表明,提出的舰船自组网通信网络大数据干扰信息挖掘方法的挖掘效果明显优于传统挖掘方法的挖掘效果,挖掘准确率得到明显提高,干扰信息判断位置差异率较小。
The result of jamming information mining is affected by the difference rate of jamming information judging position, and the accuracy rate is low. Therefore, a new method of big data interference information mining in ship ad hoc network communication network is proposed. The feature data of different characteristics of interference information are extracted, and the position of interference data is completely reproduced according to the extracted information, and the matching mining is conducted according to the obtained positioning information At the same time, adjust the direction of mining,test the operation rationality of mining algorithm, and finally obtain good mining effect. The experimental results show that the mining effect of the proposed method is obviously better than that of the traditional mining method, the mining accuracy is significantly improved, and the difference rate of interference information judgment position is small.
作者
张燕
ZHANG Yan(School of Science,Xuchang University,Xuchang 461000,China)
出处
《舰船科学技术》
北大核心
2020年第24期115-117,共3页
Ship Science and Technology
基金
河南省青年人才托举项目(2020HYPT012)
许昌学院重点科研项目(2020ZD012)
关键词
舰船自组网
通信网络
大数据
干扰信息
挖掘方法
ship ad hoc network
communication network
big data
interference information
mining method
