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.

Volume None
Pages 43-64
DOI 10.1007/978-3-030-00290-9_4
Language English
Journal None

Full Text