Acquisition and Identification of OFDM Signals Using Cyclostationary Signatures

An effective solution for increasing spectrum efficiency in current networks assumes OFDM-based Cognitive Radio (CR) systems, which allow for reconfigurable activation and loading on specific group of subcarriers in locally available spectrum. However, each CR receiver should synchronize itself to appropriate carrier frequency and identify currently activated subcarriers and corresponding waveform parameters, i.e., applied modulation/coding scheme. Proposed demonstrator, showcases dynamic reconfiguration and identification of OFDM-based CR system utilizing the detection of cyclostationary signatures, intentionally embedded features that introduce certain periodicity exhibited by second order statistics.