@inproceedings{8b72dc0607614a9a93fb7a8923c63ba7,
title = "AM-signal detection in cognitive radios using first-order cyclostationarity",
abstract = "Cognitive radio is regarded as a novel approach for improving the utilization of precious radio spectrum resource. The detection of very low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance to such radios. This paper proposes a detection algorithm based on the first-order cyclostationarity for amplitude modulated (AM) signals that only requires rough information on the signal bandwidth and carrier frequency. A theoretical asymptotic analysis is performed. Simulation results show that the proposed algorithm performs well at low SNRs.",
keywords = "Amplitude modulation, Cognitive radio, Cyclostationarity, Signal detection",
author = "Yi Zhou and Khalid Qaraqe and Erchin Serpedin and Dobre, {Octavia A.}",
year = "2010",
doi = "10.1109/ICASSP.2010.5496087",
language = "English",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3106--3109",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}