PUE攻击下基于循环时空平稳特征的主用户协作检测方法

Cooperative detection method based on space-time cyclostationarity in the presence of PUE attack

根据模仿主用户攻击(primary user emulation,PUE)信号较难同时模仿主用户(primary user,PU)信号的时、空域平稳特征,提出基于循环时空滤波的PU检测方法。该方法首先利用PU信号的循环时空平稳特征设计滤波器,并对滤波输出信号进行本地判决,再将本地检测二进制结果发送至融合中心(fusion center,FC)进行全局检测,其中FC根据各认知用户(secondary user,SU)检测循环频率的不同将收到的本地检测结果分组,并采用组内-组间二次融合方式获取全局检测结果,这种协作分集检测的方式可以有效降低误检率和计算复杂度。仿真结果表明,该方法可实现在低信干噪比环境下对PU信号的检测。

For primary user emulation (PUE) attack signal difficulty in emulating space-time cyclostationarity of primary user (PU) signal, a detection method based on cyclic space-time filtering is produced. First, cyclic space-time filter is designed by using prior information of PU signal characteristic in space-time, and then the filtered signal is detected by theshold power detection. Then, the local detection results are sent to fustion center (FC) to make a global decision. The local results are devided into different groups according to cyclic frequency. The global decision is obtained based on double fusion rule in and between groups. Last, the multi-user cooperative detection in diversity is efficient in reducing error detection and computation complexity. The simulation results show that the proposed method is effectively working in low signal to interference and noise ratio and has high performance in measurements.