基于特征结构的频谱感知算法

为了全面认识当前的认知无线电频谱感知技术,深入研究基于特征结构的多节点合作频谱感知算法,将近年来发展的随机矩阵理论(RMT)引入到频谱感知领域,使得频谱感知性能得到提高,有可能在实际应用中实现频谱感知。通过阐述基于采样协方差矩阵及特征值类的合作频谱感知方法的基本原理,归纳其主要特点,推导出检测门限的确定方法。通过基于Matlab的仿真实验,对比和验证算法的感知性能。最后展望该方向下一步的研究趋势。

Cooperative spectrum sensing algorithms based on eigenvalue structure of the received signal

In order to fully understand the current spectrum sensing（SS）technology in cognitive radio（CR）,and thorough research muti-node cooperative SS algorithms based on eigenvalue structure,the recent development of random matrix theory（RMT）has been introduced into the field of SS,thereby the performance of SS is greatly improved,SS may be realized in the practical applications.Through elaborating the basic principle of the cooperative SS schemes based on the sample covariance matrix and eigenvalues,the main characteristics of the SS scheme are generalized and the methods for the threshold decision are deduced.By simulation experiments with Matlab,the performance of algorithms is compared and verified.The future research trends are given in the end.