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