Automatic modulation classification for underwater acoustic Communications

This paper reviews an approach for the automatic classification of digital modulation in the underwater acoustic environment. The underwater acoustic communication is affected by many factors such as; Doppler spread (so high than that for the radio frequency's communications), noise and multi-path. Any classification technique, applied to recognize the most popular modulations' types used in underwater environment such as PSK, FSK and OFDM, should take these elements into consideration to mark the best performances. First, we present the two algorithms to identify automatically the type of the modulated signals. In the second part, we calculate the probability of correct classification to evaluate their performance.