一种门限自适应的认知车联网频谱感知算法  

A Threshold Adaptive Spectrum Sensing Algorithm in CR-VANETs

作　　者：林惠娇 胡斌杰[2] 齐嘉杰 LIN Huijiao;HU Binjie;Qi Jiajie(China Research Institute of Radiowave Propagation,Xinxiang 453000,China;South China University of Technology,Guangzhou 510640,China)

机构地区：[1]中国电波传播研究所,河南新乡453000 [2]华南理工大学,广东广州510640

出　　处：《移动通信》2019年第8期77-82,共6页Mobile Communications

基　　金：国家自然科学基金(61871193);广东省自然科学基金重点项目(2018B030311049)

摘　　要：能量检测中门限值的设定直接影响频谱感知的检测性能。认知车辆的移动性导致了车载通信环境的动态变化,提出了一种基于FCM的动态双门限能量检测算法,门限值随环境自适应变化,双门限检测算法消除了噪声不确定的影响。仿真结果表明,所提算法在车载通信场景中具有很好的自适应性,检测性能更好。The setting of the threshold value in the energy detection algorithm directly affects the detection performance of the spectrum sensing.The mobility of cognitive vehicles causes dynamic changes in the vehicle communication environment.Hence a dynamic double-threshold energy detection algorithm based on FCM is proposed in this paper,where the threshold value changes adaptively with the environment and the double-threshold detection algorithm eliminates the infl uence of noise uncertainty.Simulation results show that the proposed algorithm has good adaptability and better detection performance in vehicle communication scenarios.

关 键 词：认知车联网 频谱感知 FCM 门限值 

分 类 号：TN929.5[电子电信—通信与信息系统]