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Robust Compressive Spectrum Sensing

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Data-Driven Wireless Networks

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

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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.

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Authors and Affiliations

  1. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Yue Gao & Zhijin Qin

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  1. Yue Gao
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  2. Zhijin Qin
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Gao, Y., Qin, Z. (2019). Robust Compressive Spectrum Sensing. In: Data-Driven Wireless Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-00290-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-00290-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00289-3

  • Online ISBN: 978-3-030-00290-9

  • eBook Packages: EngineeringEngineering (R0)

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