DocumentCode :
1758439
Title :
Multiple-Antenna-Based Blind Spectrum Sensing in the Presence of Impulsive Noise
Author :
Hassan, Karim ; Gautier, Roland ; Dayoub, Iyad ; Berbineau, Marion ; Radoi, Emanuel
Author_Institution :
Eur. Univ. of Brittany, Rennes, France
Volume :
63
Issue :
5
fYear :
2014
fDate :
41791
Firstpage :
2248
Lastpage :
2257
Abstract :
Cognitive radio (CR) was proposed as a solution to the spectrum scarcity problem. One of the basic functions of any CR is spectrum sensing. Most existing works on spectrum sensing consider the Gaussian noise assumption. In practice, this assumption is not always valid since several existing noise types exhibit non-Gaussian and impulsive behavior. Hence, it is very beneficial to study spectrum sensing in the presence of impulsive noise. In this paper, we propose two new multiple-antenna-based spectrum sensing methods, assuming that the underlying noise follows a symmetric α-stable distribution. This assumption is justified by a distribution fitting of some measurements of the noise acting on the GSM-R antennas onboard trains. The first proposed sensing method is based on the covariation properties of α-stable processes, whereas the second proposed method has the strategy of filtering the corrupted signals before applying a traditional spectrum sensing method. These two methods do not require a priori knowledge about the primary-user signal. Simulation results show that the proposed algorithms provide good spectrum sensing performance in the presence of α-stable distributed impulsive noise.
Keywords :
Gaussian noise; antenna arrays; cellular radio; cognitive radio; covariance analysis; filtering theory; impulse noise; radio spectrum management; signal detection; CR; GSM-R antennas onboard train; Gaussian noise assumption; cognitive radio; covariation property; distribution fitting; multiple-antenna-based blind spectrum sensing method; spectrum scarcity problem; symmetric α-stable distributed impulsive noise; Antenna measurements; Data models; Detectors; Noise; Probability density function; Random variables; $alpha$-stable distribution; Cognitive radio; Cognitive radio (CR); impulsive noise; impulsive noise-stable distribution; multiple-antenna; railway communications; railways communications; spectrum sensing;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2013.2290839
Filename :
6663719
Link To Document :
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