基于信道均衡的无线信道指纹滤除方法

Method of wireless channel fingerprint elimination based on channel equalization

针对如何有效地去除信道指纹对设备指纹带来的不利影响这一射频指纹识别技术(RFFIT)面临的难题,提出了一种基于信道均衡的无线信道指纹滤除方法.首先基于匹配滤波的方法对信号进行去噪处理,消除部分噪声指纹;然后利用设备0.1 m同轴线传输信号作为参考信号,对无线信道传输信号进行信道均衡与补偿,进一步滤除信道指纹;最后结合传统的设备身份认证方法,提出了一种新的设备身份认证策略.实验结果表明:在10 m无线信道传输条件下,对10个软件定义无线电设备的识别和分类,精度高达99.99%,去除了无线信道的信道指纹带来的不良影响.

How to effectively eliminate the influence of the channel fingerprint has become a major problem faced by the radio frequency fingerprint identification technology(RFFIT). To solve these problems,a wireless channel fingerprint removal method based on channel equalization was proposed. Firstly,the signal was de-noised based on the matched filtering method to eliminate part of the noise fingerprint,and then the channel equalization and compensation of the wireless channel transmission signals were carried out by using the 0.1 m coaxial transmission signal of the device as the reference signal,and the channel fingerprint was further filtered,and in the last a new device identity authentication strategy was proposed based on the traditional device identity authentication methods.The experimental results show that the classification accuracy of the 10 software-defined radio devices is as high as 99.99% under the 10 m wireless channel transmission,which effectively removes the bad influence of the channel fingerprint.