Joint signal detection and classification based on first-order cyclostationarity for cognitive radios

Authors:
O. A. Dobre;S. Rajan;R. Inkol
Affiliations:
Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, Canada;Defence Research and Development Canada, Ottawa, ON, Canada;Defence Research and Development Canada, Ottawa, ON, Canada
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Year:
2009

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Abstract

The sensing of the radio frequency environment has important commercial and military applications and is fundamental to the concept of cognitive radio. The detection and classification of low signal-to-noise ratio signals with relaxed a priori information on their parameters are essential prerequisites to the demodulation of an intercepted signal. This paper proposes an algorithm based on first-order cyclostationarity for the joint detection and classification of frequency shift keying (FSK) and amplitudemodulated (AM) signals. A theoretical analysis of the algorithm performance is also presented and the results compared against a performance benchmark based on the use of limited assumed a priori information on signal parameters at the receive-side. The proposed algorithm has the advantage that it avoids the need for carrier and timing recovery and the estimation of signal and noise powers.