摘要
频谱感知是认知无线电的关键技术之一,通过检测授权用户信号的有无来发现频谱空穴,以提高频谱利用率。基于接收信号的统计协方差理论,提出一种新的认知无线电频谱感知算法,无需信号的先验信息,且计算复杂度较低。仿真分析了该算法,结果表明其在低信噪比环境下,较传统能量检测法有更好的感知性能。
Spectrum sensing is one of key technologies in cognitive radio,which can find spectrum holes to increase spectral utilization by detecting the presence of primary users.A novel spectrum sensing algorithm based on statistical covariance theory is proposed in this paper,which needs no priori information of signals and has lower computational complexity.Simulation analyzes this detection algorithm,and the result shows that it has better sensing performance in a low SNR situation,which is compared to conventional energy detector.
出处
《电视技术》
北大核心
2010年第S1期153-155,共3页
Video Engineering
基金
浙江省自然科学基金人才项目(R105473)
关键词
认知无线电
频谱感知
协方差
检测算法
cognitive radio
spectrum sensing
covariance
detection algorithm
