摘要
频谱感知是认知无线电网络的一项关键技术。低信噪比(SNR)环境下频谱检测的性能会大幅降低,而随机共振(SR)能有效提高信号信噪比,所以将其应用到频谱感知中,能增强认知用户对主用户(PU)的检测性能。首先介绍了随机共振在认知无线电频谱感知中应用的最新研究进展,包括随机共振在本地感知中(如能量检测、协方差矩阵频谱感知、循环平稳特征检测)及协作感知中的应用,然后指出了随机共振在认知无线电频谱感知中还有待解决的问题,并提出了下一步的研究方向。
Spectrum sensing is one of the most critical techniques in cognitive radio（CR） networks. The perfor- mance of spectrum sensing will degrade heavily under low SNR（Signal to Noise Ratio） environment. Stochastic Resonance（SR） is applied to spectrum sensing in order to enhance the detection performance of PU（Primary Us- er） because it can improve the SNR of received signal. This paper introduces the latest research on stochastic resonance technique in spectrum sensing of cognitive radio networks, including the local spectrum sensing （such as energy detection, covariance matrix detection, cyclostationary feature detection） and the cooperative spectrum sensing. Then, it points out some problems that remain to be solved in spectrum sensing technique of cognitive radio networks based on stochastic resonance and finally puts forward the next research directions.
出处
《电讯技术》
北大核心
2012年第8期1404-1410,共7页
Telecommunication Engineering
基金
国家自然科学基金资助项目(61172156
61102034
61071038)
广东工业大学博士启动基金项目(103042)
深圳市生物
互联网
新能源产业发展专项资金资助项目(CXB201005250021A)~~
关键词
认知无线电
频谱感知
随机共振
本地感知
能量检测
协方差矩阵频谱感知
循环平稳特征检测
协作感知
cognitive radio
spectrum sensing
stochastic resonance
local sensing
energy detection
covariance matrix detection
cyclostationary detection
cooperative sensing
