On robust spectrum sensing using M-estimators of covariance matrix
Type
ArticleKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Statistics
Statistics Program
Date
2020-05-18Online Publication Date
2020-05-14Print Publication Date
2020-08Embargo End Date
2021-05-18Submitted Date
2019-05-05Permanent link to this record
http://hdl.handle.net/10754/663003
Metadata
Show full item recordAbstract
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/s11432-019-2661-7Publisher
Springer NaturearXiv
1909.04357Additional Links
http://link.springer.com/10.1007/s11432-019-2661-7http://arxiv.org/pdf/1909.04357
http://arxiv.org/pdf/1909.04357
ae974a485f413a2113503eed53cd6c53
10.1007/s11432-019-2661-7