Second-order Cyclostationarity-based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems
Information Theory
2017-01-24 v1 math.IT
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
Cite
@article{arxiv.1701.06434,
title = {Second-order Cyclostationarity-based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems},
author = {Walid A. Jerjawi and Yahia A. Eldemerdash and Octavia A. Dobre},
journal= {arXiv preprint arXiv:1701.06434},
year = {2017}
}