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

fYear

2013

fDate

14-16 May 2013

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2013 21st Iranian Conference on

Conference_Location

Mashhad

Type

conf

DOI

10.1109/IranianCEE.2013.6599638

Filename

6599638