Multi-MWC Cooperative Spectrum Sensing Algorithm based on Clustering

Abstract

The sampling method of modulated wideband converter (MWC) can perform compressed sampling far below the Nyquist rate for sparse multiband analog signal, and can be accurately reconstructed. To solve the problems of multi-path, shadow and hidden terminals in single-node wideband spectrum sensing, a Multi-MWC cooperative spectrum sensing algorithm based on clustering is proposed. Based on SOMP reconstruction algorithm, a DMWC joint reconstruction algorithm is designed. This algorithm utilizes the correlation between the signals perceived by the nodes in the cluster to realize the joint signal detection of multi-MWC compression sampling model. The simulation results show that the proposed algorithm improves the reconstruction performance at low SNR, improves the accuracy of spectrum sensing, and reduces the hardware complexity of single node MWC compression sampling channel.