移动网络通信入侵干扰信号优化检测仿真

发布时间：2018-05-11 21:44

本文选题：移动网络 + 入侵干扰　；参考：《计算机仿真》2017年10期

【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。
[Abstract]:The optimal detection of intrusion jamming signal in mobile network can effectively intercept the intrusion signal of wireless network and ensure the security of the network. It is necessary to design entropy characteristic detector to detect the communication intrusion jamming signal. The detection threshold of the communication intrusion interference signal is given to complete the optimal detection of the network intrusion signal. The traditional method first estimates the interference noise and extracts the feature of the communication intrusion jamming signal, but neglects to give the detection threshold of the communication intrusion jamming signal, which leads to the low detection accuracy. An optimal detection method for intrusion interference signals in mobile networks based on entropy features is proposed. Firstly, the frequency spectrum feature of the interference signal is extracted based on the probabilistic statistical method, the total probability of all amplitudes in the mobile network is calculated, and the harmonic components of the communication intrusion jamming signal are separated by the empirical mode decomposition method. The difference of energy distribution between interference harmonic component and target echo in time and frequency domain is given. Entropy feature detector is designed and the detection threshold of communication intrusion jamming signal in mobile network is given. The optimal detection of communication intrusion jamming signal in mobile network is completed. The experimental results show that the proposed method has high detection accuracy and can effectively eliminate the communication intrusion interference signals in mobile networks.
【作者单位】：甘肃中医药大学信息工程学院;
【分类号】：TN929.5

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