Time-Angle Spectrum Sensing Based on Sliding Window MUSIC Algorithm

Abstract

Spectrum sensing is one of the key issues in cognitive radio. To explore all dimensions of the spectrum space, a sliding window MUSIC based spectrum sensing method is proposed to offer the spectrum holes in time-angle dimension. Simulation results show that the proposed method has better detection performance than conventional energy detection as well as high estimation accuracy.