Performance of primary user detection based on FFT for DTV signals

In this paper, performance of primary user detection based on fast Fourier transform (FFT) is analyzed and simulated for advanced television systems committee (ATSC) digital television (DTV) signals. In order to detect the present and absence of the ATSC DTV signals, a pilot detection scheme based on FFT is employed. A wireless communication channel is modeled as Gaussian channel. For evaluating the spectrum sensing performance, detection probability is derived. We consider four kinds of sensing time, which are 5 ms, 10 ms, 20 ms and 40 ms. And we compare the system performances in accordance with the sensing time. From simulation results, it is confirmed that the spectrum sensing performance is improved as increase of the sensing time and the number of FFT points. The results of this paper can be applied to implement the spectrum sensing part of cognitive radio (CR) systems.