Signal detection for OFDM/OQAM system using cyclostationary signatures

The purpose of this paper is to analyze Orthogonal Frequency Division Multiplexing carrying Offset QAM (OFDM/OQAM) signal detection using cyclostationary signatures, which are artificially embedded into digital modulated signals. The spectral correlation characterization of OFDM/OQAM signal can be described by a special Linear Periodic Time-Variant (LPTV) system. Using this description we have derived the explicit theoretical formulas of Cyclic Autocorrelation Function (CAF) and Spectral Correlation Function (SCF) for OQAM signal. A low-complexity cyclostationary signature detector can be utilized for OQAM signal detection, and experimental results show the advantages of this signature detector.