Blind Identification of OFDM Signal in Rayleigh Channels

This paper proposes an algorithm for the blind identification of OFDM (orthogonal frequency division multiplexing) signal from the single-carrier modulated signals in the Rayleigh channels. The algorithm doesn't need any prior knowledge of the signals, such as SNR (signal to noise ratio), symbol rate and carrier frequency, and deals with the bandpass signals directly avoiding the carrier recovering process. Simulation results prove the feasibility and show that an over 95% correct classification rate could be reached when the SNR is above 0 dB

[1]  Luca De Vito,et al.  An Automatic Digital Modulation Classifier for Measurement on Telecommunication Networks , 2007, IEEE Transactions on Instrumentation and Measurement.

[2]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[3]  W. Akmouche,et al.  Detection of multicarrier modulations using 4th-order cumulants , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).

[4]  Bijan G. Mobasseri,et al.  Digital modulation classification using constellation shape , 2000, Signal Process..

[5]  Elsayed Elsayed Azzouz,et al.  Algorithms for automatic modulation recognition of communication signals , 1998, IEEE Trans. Commun..

[6]  Georgios B. Giannakis,et al.  Time-domain tests for Gaussianity and time-reversibility , 1994, IEEE Trans. Signal Process..

[7]  Brian M. Sadler,et al.  Hierarchical digital modulation classification using cumulants , 2000, IEEE Trans. Commun..

[8]  Wei Dai,et al.  Joint power estimation and modulation classification using second- and higher statistics , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).