| 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。〖JP2〗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。 |
| 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 |
| DOI： |
|
| 基金项目: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） |
|
| Latest development of stochastic resonance techniques in spectrum sensing of cognitive radio networks |
| DENG Qin,WAN Pin,WANG Yong-hua,LI Yue-hong,YANG Jian |
| (School of Automation, Guangdong University of Technology, Guangzhou 510006, China) |
| Abstract: |
| Spectrum sensing is one of the most critical techniques in cognitive radio(CR) n
etworks. The performance of spectrum sensing will degrade heavily under low SN
R(Signal to Noise Ratio) environment. Stochastic Resonance(SR) is applied to spe
ctrum sensing in order to enhance the detection performance of PU(Primary User) b
ecause it can improve the SNR of received signal. This paper introduces the latest research on s
tochastic resonance technique in spectrum sensing of cognitive radio networks,including
the local spectrum sensing (such as energy detection,covariance m
atrix 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. |
| Key words: spectrum sensing stochastic resonance local sensing energy detection covaria
nce matrix detection cyclostationary detection cooperative sensing |
