Entropy based extraction and classification of frequency hopping signals from their TFDs

This paper presents a method for extraction of frequency hopping signals, for the case of variable number of transmitters with aperiodic frequency hops. The mixture of signals generated by different transmitters are represented in the time-frequency domain, by time-frequency distributions belonging to the Quadratic class. Different components are extracted from the time-frequency distribution of the mixture, and classified among the various transmitting sources, using the information on the instantaneous number of components, hopping instants, and the total number of components estimated by using different orders of the time-frequency Rényi entropy.