文献类型：期刊文献

中文题名：移动网络通信入侵干扰信号优化检测仿真

英文题名：Mobile Network Communication Intrusion Signal Optimization Detection Simulation

作者：张伟[1]

第一作者：张伟

机构：[1]甘肃中医药大学信息工程学院,甘肃兰州730000

第一机构：甘肃中医药大学信息工程学院（教育技术中心）

年份：2017

卷号：34

期号：10

起止页码：265

中文期刊名：计算机仿真

外文期刊名：Computer Simulation

收录：北大核心:【北大核心2014】；

语种：中文

中文关键词：移动网络;入侵干扰;信号检测

外文关键词：Mobile network ; Intrusion interference ; Signal detection

摘要：对移动网络通信入侵干扰信号的优化检测,能够有效的对无线网络的入侵信号进行快速截获,保证网络的安全性。对通信入侵干扰信号的检测,需要设计熵特征检测器,给出通信入侵干扰信号检测门限,完成对网络入侵信号的优化检测。传统方法先对干扰噪声进行估计,对通信入侵干扰信号特征进行提取,但忽略了给出通信入侵干扰信号检测门限,导致检测精度偏低。提出基于熵特征的移动网络下通信入侵干扰信号优化检测方法。上述方法先基于概率统计方法提取干扰信号频谱特征,计算移动网络下所有幅值出现的总概率,利用经验模态分解方法分离出通信入侵干扰信号谐波分量,给出干扰谐波分量与目标回波在时频域上能量分布特征差异,设计熵特征检测器,给出移动网络下通信入侵干扰信号检测门限,完成对移动网络下通信入侵干扰信号优化检测。实验结果表明,所提方法检测精度高,可以有效地消除移动网络下通信入侵干扰信号。
This research puts forward a method for optimization detection of interference signal of communication intrusion in mobile network. Spectrum feature of interference signal based on probabilistic method was extracted and total probability of all amplitude emerging in the mobile network was calculated, then experiential empirical mode de- composition was used to isolate harmonic component of the interference signal and characteristic difference of energy distribution in time - frequency domain of the harmonic component and target echo was provided. The detector of en- tropy feature was designed and the threshold of detection of interference signal was provided. Experimental results show that the method has higher detection precision and can eliminate the interference signal effectively.