本论文概述了信号检测技术，如能量检测、匹配滤波器检测等，重点研究了循 环平稳检测法，并与能量检测法进行性能对比，仿真表明循环平稳检测性能明显 优于能量检测。论文讨论了循环平稳检测法检测统计量的选取，研究了循环谱峰 均比的特性，并对使用循环谱峰均比作为检测统计量的循环平稳检测法进行了仿 真，仿真表明使用循环谱峰均比作为检测统计量的循环平稳检测性能优于传统的 循环平稳检测法。-This paper outlines the signal detection techniques,

The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The

This paper proposes a novel, highly effective spectrum sensing algorithm for cognitive radio and white space applications. The proposed spectral covariance sensing (SCS) algorithm exploits the different statistical correlations of the received