Cyclostationary Feature Based Quickest Spectrum Sensing in Cognitive Radio Systems

摘要: Cyclostationary feature is incorporated into the framework of quickest spectrum sensing, which based on technique change detection, in cognitive radio systems. Different from detecting a sequence independent random variables, e.g. energydetection, property process with correlated observations should be detected context cyclostationary sensing. Motivated by traditional cumulative sum (CUSUM) test multi-thread competition algorithm for proposed to tackle difficulty observations. A thread truncation approach reduce required amount memory and computation. Numerical results show that sensing significantly outperforms block detection scheme.