ABSTRACT: In this paper, using cyclostationarity-based sensing method to detect the presence of Orthogonal Frequency Division Multiplexing
(OFDM) signal over doubly-selective fading channels is studied. By approximating the channel with Basis Expansion Model (BEM),
we derive the second-order cyclostationary statistics of the received OFDM signal over doubly-selective fading channels. Theoretical
analysis indicates that new cyclostationary signatures produced by Doppler spread and multipath delay can be further exploited
in the detecting process. Simulation examples demonstrate that the sensing methods using channel-induced cyclostationary features
provide substantial improvements on detection performance.
Key wordsSignal sensing–Cyclostationarity–Orthogonal Frequency Division Multiplexing (OFDM)–Doubly-selective fading
Journal of Electronics (China) 05/2012; 28(1):1-7.