采用熵权调制的网络谐振信号相群合成技术

Phase Group Synthesis Technology of Network Resonance Signal Based on Entropy Weight Modulation

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。

In the combination of network resonance detection, the phase group synthesis of network resonance signal is im-portant, it is a shortcut is to improve the detection accuracy of the network. The phase velocity and group velocity distribu-tion translation algorithm phase group synthesis in the traditional method, the characteristics of the signal distortion subband is used, and it affects the detection of resonance signal. Aiming at this problem, a phase group synthesis technology ofcombined network resonance signal is proposed based on entropy weight modulation, and the combination of network reso-nance detection signal is realized. Firstly, the resonance signal model is designed, a feed forward filter design improved fil-ter the signal preprocessing, calculating the amount of entropy feature of the signal, the filter tap coefficient uses entropy foradaptive modulation characteristics, so the implementation of resonance signal phase group synthesis is obtained. Simula-tion results show that, the algorithm can accurately reflect the internal characteristics of information signal, and the errorrate is reduced for helping the resonance signal recognition, so it can improve the ability to identify the resonance signalfirewall.