An Effective Wideband Spectrum Sensing Scheme Based on Nested Sampling

Abstract

Spectrum sensing based on sub-Nyquist sampling has been a promising solution for the wideband spectrum sensing. However, most of the existing sub-Nyquist approaches require the higher sampling rate to achieve a desired detection performance when the number of occupied sub-bands increases. And also, the computational complexity of the recovering signal will be raised. Therefore, we propose an effective wideband spectrum sensing scheme based on nested sampling in this paper, which has lower sampling rate or higher compression ratio. In the proposed approach, firstly, we obtain the estimation of the power spectrum of wideband signal based on the nested sampling followed by the sub-band-bin energy detecting. Simulation results show that our method using the nested sampling outperforms co-prime sampling.