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.

[1]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[2]  Georgios B. Giannakis,et al.  Transmitter induced cyclostationarity for blind channel equalization , 1997, IEEE Trans. Signal Process..

[3]  W. Gardner The spectral correlation theory of cyclostationary time-series , 1986 .

[4]  B. Saltzberg,et al.  Performance of an Efficient Parallel Data Transmission System , 1967, IEEE Transactions on Communication Technology.

[5]  B. Hirosaki,et al.  An Orthogonally Multiplexed QAM System Using the Discrete Fourier Transform , 1981, IEEE Trans. Commun..

[6]  William Gardner,et al.  Spectral Correlation of Modulated Signals: Part I - Analog Modulation , 1987, IEEE Transactions on Communications.

[7]  William A. Gardner,et al.  Spectral Correlation of Modulated Signals: Part II - Digital Modulation , 1987, IEEE Transactions on Communications.

[8]  Maurice G. Bellanger,et al.  Specification and design of a prototype filter for filter bank based multicarrier transmission , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[9]  R. Chang Synthesis of band-limited orthogonal signals for multichannel data transmission , 1966 .

[10]  Linda Doyle,et al.  Cyclostationary Signatures in Practical Cognitive Radio Applications , 2008, IEEE Journal on Selected Areas in Communications.