摘要
频谱感知是认知无线的核心技术之一。针对循环谱特征检测严格的预处理要求,提出一种以二阶循环累积量的循环频率为特征并结合循环平稳性检测的频谱感知算法。算法无需参数估计以及同步等预处理过程。理论推导及仿真结果证明,该算法能够实现低信噪比下主用户信号的有效感知,且相比于其它检测法能达到更好的检测性能。
Spectrum sensing is one of the key technologies in cognitive radio.To meet the strict requirements for preprocessing in cyclostationarity spectral feature detection,a new sensing method based on signal cyclic frequency features of second-order cyclic cumulants is proposed,which combines cyclostationary testing.The method does not require parameters estimation and synchronization as preprocessing tasks.The theoretical derivations and simulations show the proposed method can effectively detect primary user signals under low SNR conditions and outperform other detection methods.
出处
《信息工程大学学报》
2011年第5期574-577,595,共5页
Journal of Information Engineering University
关键词
循环平稳
频谱感知
认知无线电
cyclostationarity
spectrum sensing
cognitive radio
