采用熵权调制的网络谐振信号相群合成技术

发布时间：2018-03-02 16:02

本文选题：组合网络　切入点：相群特征　出处：《科技通报》2014年12期 　论文类型：期刊论文

【摘要】：对组合网络谐振信号检测中,对网络谐振信号进行相群合成,是提高网络安全检测精度的捷径。传统方法中采用相速度和群速度均匀分布平移算法实现相群合成,在信号的子带上产生特征畸变,影响对谐振信号的检测。针对此问题,提出一种采用熵权调制的组合网络谐振信号相群合成算法,实现组合网络谐振信号的检测。首先构建谐振信号模型,设计改进的前馈滤波器进行信号滤波前置处理,计算信号的熵权特征,对滤波器的抽头系数采用熵权特征进行自适应调制,实现网络谐振信号的相群合成。仿真实验证明,采用该算法进行相群合成,能准确反映信号的内部信息特征,降低对谐振信号识别的误码率,提高防火墙对谐振信号的识别能力。
[Abstract]:In the detection of combinational network resonance signals, phase group synthesis of network resonance signals is a shortcut to improve the accuracy of network security detection. In traditional methods, phase group synthesis is realized by using phase velocity and group velocity uniform distribution translation algorithm. Characteristic distortion is produced on the sub-band of the signal, which affects the detection of the resonant signal. In order to solve this problem, a phase group synthesis algorithm for resonant signals of the combined network based on entropy weight modulation is proposed. Firstly, the resonant signal model is constructed, and the improved feedforward filter is designed for signal filtering preprocessing, and the entropy weight feature of the signal is calculated. The tap coefficients of the filter are modulated adaptively by entropy weight feature to realize the phase group synthesis of the resonant signal of the network. The simulation results show that the algorithm can accurately reflect the internal information characteristics of the signal. The bit error rate of resonant signal recognition is reduced, and the recognition ability of firewall to resonant signal is improved.
【作者单位】：四川职业技术学院图书馆;
【分类号】：TN911.23

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