Blind Spectrum Sensing Techniques for Cognitive Radio System

As the mobile communication environments grow rapidly, much attention has been paid on the use of spectrum resources. Recently, a new technology called Cognitive Radio (CR) was developed for using the unused spectrum bands efficiently. In the CR system, one possible way to locate these unused spectrum bands is to use so-called spectrum sensing. This technique, however, should be computationally simple and fast in order to catch up with the changing signal parameters. In this paper, we propose a cyclostationary feature based detection technique for spectrum sensing. To improve spectrum sensing performance, the proposed spectrum sensing technique computes the circular correlation of received signal before the cyclostationary feature based detection. Simulation results show that the proposed spectrum sensing technique provides better spectrum sensing performance than cyclostationary feature based detection technique even in the low SNR environment.