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arXiv · 1701.06434

Second-order Cyclostationarity-based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems

Walid A. Jerjawi·Yahia A. Eldemerdash·Octavia A. Dobre
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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.

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Walid A. Jerjawi, Yahia A. Eldemerdash, Octavia A. Dobre. 2016-12-12. Second-order Cyclostationarity-based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems. https://doi.org/10.1109/tim.2014.2357592

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