WIDEBAND SPECTRUM SENSING FOR COGNITIVE RADIOS BASED ON SMART ANTENNAS AND CHANNELIZER

摘要

In this paper, we present a new low-complexity wideband space-frequency sensing with smart antenna for cognitive radios, called by WideBand Adaptive-Cross-Spectral-COherence-REstoral (WB-Adaptive Cross-SCORE, WB-ACS) to detect the weak primary user (PU) signal in a severe interference environment. We first introduce the super-heterodyne receiver and design a bank of channelization filters to divide the wideband signals into the multiple orthogonal narrowband signals. Second, by introducing a bank of channelization filters into the narrowband ACS algorithm, the low-complexity wideband two-dimensional sensing is constructed. Simulation results demonstrate that the proposed algorithm can favor the weak PU corrupted by the strong interference.