AM-SIGNAL DETECTION IN COGNITIVE RADIOS USING FIRST-ORDER CYCLOSTATIONARITY
Additional Document Info
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. 2010 IEEE.
name of conference
2010 IEEE International Conference on Acoustics, Speech and Signal Processing