On robust spectrum sensing using M-estimators of covariance matrix

Embargo End Date
2021-05-18

Type
Article

Authors
Liu, Zhedong
Kammoun, Abla
Alouini, Mohamed-Slim

KAUST Department
Communication Theory Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Statistics
Statistics Program

Online Publication Date
2020-05-14

Print Publication Date
2020-08

Date
2020-05-18

Submitted Date
2019-05-05

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/s11432-019-2661-7http://arxiv.org/pdf/1909.04357http://arxiv.org/pdf/1909.04357

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