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    On robust spectrum sensing using M-estimators of covariance matrix

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    Type
    Article
    Authors
    Liu, Zhedong cc
    Kammoun, Abla cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Statistics
    Statistics Program
    Date
    2020-05-18
    Online Publication Date
    2020-05-14
    Print Publication Date
    2020-08
    Embargo End Date
    2021-05-18
    Submitted Date
    2019-05-05
    Permanent link to this record
    http://hdl.handle.net/10754/663003
    
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    Abstract
    Most of the spectrum sensing techniques are designed for Gaussian noise. These techniques do not consider the environment with the non-Gaussian (impulsive or heavy-tailed) noise. In a wireless communication system, impulsive noise frequently occurs and originates from numerous sources, for instance, switching transients in power lines, vehicle ignition, microwave ovens and devices with electromechanical switches. Under those circumstances, sensing techniques designed for Gaussian noise may be highly susceptible to severe degradation of performance.
    Citation
    Liu, Z., Kammoun, A., & Alouini, M.-S. (2020). On robust spectrum sensing using M-estimators of covariance matrix. Science China Information Sciences, 63(8). doi:10.1007/s11432-019-2661-7
    Publisher
    Springer Nature
    Journal
    Science China Information Sciences
    DOI
    10.1007/s11432-019-2661-7
    arXiv
    1909.04357
    Additional Links
    http://link.springer.com/10.1007/s11432-019-2661-7
    http://arxiv.org/pdf/1909.04357
    http://arxiv.org/pdf/1909.04357
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11432-019-2661-7
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Statistics Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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