Feature Vector Generation of Underwater Acoustic Signal based on Multi-Domain Feature Extraction

Abstract

Based on time domain, frequency-domain and time-frequency domain feature extraction algorithm proposes a composite feature vector generation method, combined with support vector machine (SVM) to classify three kinds of typical underwater target radiated noise identification, the results show that, based on the characteristics of composite target recognition probability is 94.29%, were higher than the recognition probability of independent features, to verify the effectiveness of this method in classification of underwater acoustic target recognition.