Spectrum Sensing for Cognitive Radio Based on Higher-Order Statistics

摘要

Cognitive radio is a new intelligent wireless communication technology, which aims to improve the utilization of limited spectrum resources. In a cognitive radio network, efficient sensing of primary (licensed) users is prerequisite to other cognitive tasks. In this paper, spectrum sensing method based on higher-order statistics is discussed. We choose bispectrum estimation method for its good performance in signal processing field and verify our conclusion through computer simulation.