Classification of mfsk modulated signals using the mean of complex envelope
Modulation classification has many important applications in communications, e.g., reconfigurable receivers, spectrum managment and interference cancellation. In this paper we address the problem of classifying digitally modulated signals using cyclostationary statistics. We derive the first-order moments of the complex envelope of digitally modulated signals and verify their periodicity. A novel feature for the classification of the frequency shift keyed signals is proposed. The performance of this feature in distinguishing among different FSK constellations is studied in simulation. Some comparisons to commonly used features are performed.
- M. Gabbouj and P. Kuosmanen
- Book title:
- Signal Processing X Theories and Applications, Proceedings of EUSIPCO 2000, tenth European Signal processing Conference, 4-8 September 2000, Tampere, Finland
- ISBN: 952-15-0443-9, 952-15-0444-7 Volume I<br/>Contribution: organisation=sgn,FACT1=1