DocumentCode :
3045456
Title :
A cyclic correlation-based cooperative spectrum sensing method for OFDM signals
Author :
Sadeghi, Hamid ; Azmi, Paeiz
Author_Institution :
Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
fYear :
2013
fDate :
14-16 May 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a new spectrum sensing method based on cyclic feature detection is proposed for detection of OFDM-based primary users. Based on the proposed asymptotically constant false alarm rate (CFAR) detector, a soft decision-based fusion rule for cooperative spectrum sensing (CSS) is established. The proposed scheme aims to maximize the deflection criterion at the fusion center (FC), while the reporting channels are characterized by Rayleigh fading. In order to be able to evaluate the performance of the cooperative detector, some analytic threshold approximation methods are proposed for the cases where the fusion center has direct sensing capability or not. Extensive simulation results are provided to justify the advantages of our proposed cooperative spectrum sensing method.
Keywords :
OFDM modulation; Rayleigh channels; approximation theory; cooperative communication; correlation theory; radio spectrum management; sensor fusion; OFDM signal; Rayleigh fading; analytic threshold approximation method; asymptotic CFAR detector; constant false alarm rate; cooperative detector; cyclic correlation-based cooperative spectrum sensing; cyclic feature detection; deflection criterion; fusion center; primary user; soft decision-based fusion rule; Cascading style sheets; Detectors; Fading; Noise; OFDM; Vectors; Cognitive radio; Cooperative spectrum sensing; Cyclostationary; Primary user detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location :
Mashhad
Type :
conf
DOI :
10.1109/IranianCEE.2013.6599569
Filename :
6599569
Link To Document :
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