一种改进的分数低阶矩协作频谱感知算法

为了提高脉冲噪声下基于分数低阶矩频谱感知算法性能,提出了一种改进算法。针对中值滤波能有效抑制脉冲噪声的特点,该方法先对接收信号进行中值滤波,再进行分数低阶矩频谱感知。仿真分析了在不同广义信噪比、特征指数以及协作用户对感知性能的影响,并与能量检测和分数低阶矩频谱感知方法对比。仿真结果表明,改进的分数低阶矩方法在脉冲噪声下感知性能明显优于能量检测和分数低阶矩检测。并且对不同调制信号均具有良好的适用性。

Cooperative Spectrum Sensing Algorithm of an Improved FLOM

In order to improve probability of detection of the fractional low order moment (FLOM) -based spectrum sensing under impulse noise,an improved algorithm is proposed in this paper.The median filter can effectively suppress the impulse noise,so the signal with impulse noise is processed by median filter,and then the fractional low order moment value of the filtered signal is calculated and taken as test statistic for FLOM.Simulation analysis the impact of different generalized SNR,dispersion index Alpha and collaborative users to the sensing performance,comparing with the ED and FLOM spectrum sensing method.The simulation results show that the improved FLOM method performance under impulsive noise is superior to the ED and FLOS.Moreover,the proposed method has better applicability with different modulation signals.