An Efficient Non-iterative Sub-Nyquist Sampling Wideband Spectrum Sensing Approach

The sub-Nyquist sampling technique offers the possibility of wideband spectrum sensing using portable devices. Therefore, it becomes more urgent and important to improve the hardware and computational efficiency of existing sparse recovery algorithms. In this paper, we propose an improved non-iterative joint support set recovery algorithm based on the MUSIC criterion for Modulated Wideband Converter (MWC) sub-Nyquist sampling front-ends. Through subspace analysis, we find that the MUSIC-based algorithm has the potential to reduce hardware requirements. Moreover, simulations show that the proposed improved MUSIC algorithm has comparable performance to the iterative SOMP in coarse spectrum sensing applications.