Classification and Identification of Underwater Target based on Sound Propagation

Abstract

This paper investigates an underwater noise target classification algorithm in order to identify vessels in shallow water. To this aim the Hilbert Huang transform has been used to extract features in order to be used in a classifier. The Support Vector Machine has been considered to identify targets. The proposed method based on Hilbert Huang Transform shows considerable gain against similar approach based on Wavelet Packet Transform.

Keywords

• sonar
• noise
• wavelet transform
• hilbert huang transform
• support vector machine