基于射频指纹的无线电力终端身份认证方法

Authentication Method for Wireless Power Terminals Based on RF Fingerprint

无线电力终端接入电网的通讯安全性一直是制约配电侧感知技术应用的主要障碍,针对这一问题,提出基于射频指纹的无线电力终端身份认证方法。首先,针对现有瞬态检测方法计算复杂及对噪声敏感的问题,利用信号相位均值方差与瞬态包络线斜率,提出了相位方差-包络斜率检测算法,在降低计算成本的同时提升了检测速度;其次,为降低信号特征的维度和训练时间,选择时域高阶统计量作为射频指纹,并选择反向传播(back propagation,BP)神经网络作为分类器进行识别认证。实验结果表明,所提出的瞬态检测方法在显著降低运算时间的同时具备较高的瞬态检测准确率,基于射频指纹的身份识别方法实验平均识别率可达96.5%以上,表明该方法能有效增强电力系统的无线通讯安全。

The communication security of wireless power terminals accessing to the grid has been a major obstacle limiting the application of distribution-side sensing technology.To solve this problem,we propose an authentication method for wireless power terminals in power system based on radio frequency fingerprint.First,we propose a phase variance-envelope slope detection algorithm by using the signal phase mean variance and transient envelope slope.The algorithm can be adopted to solve the problems of computational complexity and noise sensitivity of existing transient detection methods,thus the detection speed can be improved while reducing the computational cost.Second,to reduce the dimensionality and training time of signal features,we select time-domain higher-order statistics as the radio frequency fingerprint.And back propagation(BP)neural network is selected as the classifier for recognition authentication.The experimental results show that the proposed transient detection method has a high transient detection accuracy while significantly reducing the computing time.The experimental average recognition rate of the authentication method based on radio frequency fingerprint can reach more than 96.5%.The results indicate that the method can be employed to effectively enhance the wireless communication security of power systems.