Automatic Recognition Algorithm for Digitally Modulated Signals based on Statistical Approach in Time-Frequency Domain
نویسنده
چکیده
This paper deals with a new modulation recognition algorithm based on an analysis of time-frequency representations of di erent modulated signals (PSK, QAM and FSK). At rst, we conduct experimental studies over a range of time-frequency representations (TFR) in order to choose the more appropriated one. Once, an appropriated TFR has been chosen, some statistical functions applied on that TFR are used in order to extract the desired information included in the representation. The desired information could be used to estimate the symbol duration estimation. Otherwise a classi cation scheme that allows to distinguish PSK, FSK and QAM. Finally, many experiments and simulations have been conducted and we present the obtained results.
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