Abstract
Conference Title: 2017 34th National Radio Science Conference (NRSC) Conference Start Date: 2017, March 13 Conference End Date: 2017, March 16 Conference Location: Alexandria, Egypt Wideband spectrum sensing is a challenging task in wideband cognitive radio networks. It needs to be efficient, robust and fast. However, there are many challenges facing sensing in wideband spectrum. One of these challenges is Nyquist sampling rate bottleneck which required high speed DSP and large storage spaces. Compressive sensing is a pioneer solution for wideband spectrum sensing which have proved sampling below Nyquist criterion. In this paper, we provide mathematical expression that computes the number of measurements required for compressed detection exploiting DCT as sensing matrix. The simulation results show that the accuracy of detection for certain number measurements is similar to the results obtained by compressed measurements based spectrum sensing for wideband cognitive radio systems with small relative error. The comparison is based on term of probability of detection versus compression ratios.