基于分形理论的CUWB频谱感知方法

针对超宽带频带内授权信号类型确定的特点,为了弥补盒维数检测不能够有效识别信号类型的缺点,提出通过进一步提取信息维数特征对信号调制样式进行识别,该方法融合了盒维数检测和信息维数检测的优点进行合作判决。仿真表明基于信号分形理论的频谱感知能够取得较好的检测效果,且该方法运算复杂度低,对噪声不敏感,能够有效区别噪声与授权信号,抵御模拟授权用户攻击,检测效果优于循环谱检测和能量检测。

Spectrum Sensing of Cognitive Ultra-Wideband Based on Fractal Theory

Modulation mode of targeted signals are predefined in ultra-wideband（UWB） spectrum band,in order to overcome the shortcomings of box dimension detection which could not distinguish signal modulation mode.A method which is extracting information dimension as the recognition characteristic parameter to recognize signal modulation mode is proposed.This method combines advantages of box dimension and information dimension to make a decision cooperatively.Simulation results show that the method based on fractal theory has a good sensing performance with low computational complexity and is not sensitive to the noise,it is able to distinguish noise and licensed signals.Besides,signal modulation mode can be recognized effectively and incumbent emulation attack can e resisted by this method,it has a better performance than cyclostationary detection and energy detection.