A Sub-Nyquist Spectrum Sensing Method Based on Joint Recovery of Distributed MWCs

摘要

The recently proposed sub-Nyquist spectrum sensing method based on Modulated Wideband Converter (MWC) significantly relieves sampling pressure from wideband spectrum sensing of cognitive radio. However, the sensing success rate of a single receiving node consisted of MWC is far from satisfactory due to the influences of the hidden terminal problem and so on. In this paper, we present a distributed sub-Nyquist wideband spectrum sensing method using joint recovery technique based on multiple MWCs. The proposed sensing method can improve the sensing performance with the increase of node numbers by making full use of the joint sparse structure across multiple received signals and the diversity of sensing matrices. Numerical experiments show that, compared with separate sensing method, the proposed can enhance the sensing performance in terms of success rate, and it even can achieve a success when the separate sensing for each node fails.