Second-Order Cyclostationarity-Based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems

Author

Jerjawi, W.A. ; Eldemerdash, Y.A. ; Dobre, O.A.

Author_Institution

Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´s, NL, Canada

Volume

64

Issue

3

fYear

2015

fDate

42064

Firstpage

823

Lastpage

833

Abstract

In this paper, we investigate the detection of long-term evolution (LTE) single carrier-frequency division multiple access (SC-FDMA) signals, with application to cognitive radio systems. We explore the second-order cyclostationarity of the LTE SC-FDMA signals and apply results obtained for the cyclic autocorrelation function to signal detection. The proposed detection algorithm provides a very good performance under various channel conditions, with a short observation time and at low signal-to-noise ratios, with reduced complexity. The validity of the proposed algorithm is verified using signals generated and acquired by laboratory instrumentation, and the experimental results show a good match with computer simulation results.

Keywords

Long Term Evolution; cognitive radio; frequency division multiple access; signal detection; LTE SC-FDMA signals; SC-FDMA signals; cognitive radio systems; cyclic autocorrelation function; long term evolution; second order cyclostationarity based detection; signal detection; signal-to-noise ratios; single carrier frequency division multiple access; Cognitive radio; Correlation; Delays; Long Term Evolution; OFDM; Signal detection; Simulation; Cognitive radio (CR); long-term evolution (LTE); signal cyclostationarity; signal detection; single carrier-frequency division multiple access (SC-FDMA);

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2014.2357592

Filename

6914549