TY - JOUR
T1 - On robust spectrum sensing using M-estimators of covariance matrix
AU - Liu, Zhedong
AU - Kammoun, Abla
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020/5/18
Y1 - 2020/5/18
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/663003
UR - http://link.springer.com/10.1007/s11432-019-2661-7
UR - http://www.scopus.com/inward/record.url?scp=85085020091&partnerID=8YFLogxK
U2 - 10.1007/s11432-019-2661-7
DO - 10.1007/s11432-019-2661-7
M3 - Article
SN - 1869-1919
VL - 63
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 8
ER -