Joint Blind Demodulation and Modulation Identification

Collaborators: Dr. Keith Davidson, Dr. Derek Stanford, and Dr. Jill Goldschneider (Insightful Corp.); Dr. Jim Pitton. Sponsors: ARL, AFRL.

Blind demodulation techniques, that is techniques that do not rely on a priori knowledge of signal parameters, are combined with modulation classification methods to automatically demodulate unknown signals. Modulation classification is achieved by automatic classifiers operating on features extracted from partially demodulated signals. We developed the Matlab Blind Demodulation Toolbox and demonstrated a prototype of the entire signal processing chain that correctly classified PSK, QAM, and FSK modulations.