Feature extraction of underwater targets based on psychoacoustic parameters

The calculation methods of the primary psychoacoustic parameters, such as loud-ness, sharpness, fluctuation, strength, and roughness are investigated. The primary psychoacoustic parameters are used as feature parameters to recognize underwater targets. The feature parameters are modified according to the recognition rate. The recognition and classification tests of three kinds of shipnoise data are made by K-means method. Simulation results show that the signal essence is reflected by extracted features and the classification result is obtained by the extracted features, especially for the modified psychoacoustic parameters.