Archive | 2019
Robust Compressive Spectrum Sensing
Abstract
In this chapter, the existing work on compressive spectrum sensing in CRNs and the main contributions are firstly reviewed in Sect. 4.1. In Sect. 4.2, the proposed robust compressive spectrum sensing working at a single CR user is presented. Section 4.3 gives the related simulation results. Additionally, the proposed robust sub-Nyquist spectrum sensing algorithm for the CSS scenario is demonstrated in Sect. 4.4, in which the low-rank MC technique is invoked to perform signal recovery. The numerical results are presented in Sect. 4.5. Finally, Sect. 4.6 concludes this chapter.