FSK-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 resources. The detection of low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance for cognitive radios. This paper proposes a detection algorithm based on the first-order cyclostationarity for frequency shift keying (FSK) signals that only requires rough information on the signal bandwidth, carrier frequency and symbol rate. A theoretical asymptotic analysis is performed. Simulation results show that the proposed algorithm performs well at low SNRs.