Title : 
Likelihood-ratio-based cooperative spectrum sensing for autocorrelation-assisted detection of OFDM signals in cognitive radio
         
        
            Author : 
Arezumand, Hamid ; Azmi, Paeiz ; Sadeghi, Hamid
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
         
        
        
        
        
        
            Abstract : 
In this correspondence a likelihood ratio test for performing cooperative autocorrelation-based spectrum sensing of orthogonal frequency-division multiplexing (OFDM)-based primary networks is proposed. The OFDM signal sensing strategy is based on the method introduced in the recent paper [1]. In order to be able to test hypotheses at the fusion center, the distribution of the proposed test statistic is derived. Simulation results show a significant improvement in detection performance compared to the conventional methods.
         
        
            Keywords : 
OFDM modulation; cooperative communication; signal detection; statistical testing; OFDM signal sensing strategy; autocorrelation-assisted detection; cognitive radio; likelihood ratio test; likelihood-ratio-based cooperative spectrum sensing; orthogonal frequency-division multiplexing based primary networks; test statistic; Cognitive radio; Fading; OFDM; Random variables; Sensors; Signal to noise ratio; Simulation; Cognitive radio; autocorrelation-based; cooperative spectrum sensing; data fusion; likelihood ratio test; orthogonal frequency-division multiplexing;
         
        
        
        
            Conference_Titel : 
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
         
        
            Conference_Location : 
Mashhad
         
        
        
            DOI : 
10.1109/IranianCEE.2013.6599638