Identification of Underwater Ambient Noise Sources Using Hilbert-Huang Transfer

J. Ocean Eng. Technol. 2008;22(1):30-36.

Hwang Do-Jin,Kim Jea-Soo

Division of Ocean Development Engineering Korea Maritime University,Division of Ocean Development Engineering Korea Maritime University

힐버트-후앙 변환을 이용한 수중소음원의 식별

황도진,김재수

한국해양대학교 해양개발공학부,한국해양대학교 해양개발공학부

Keywords: Underwater ambient noise sources, Endpoint detection, Zero-crossing rate, Feature extraction, Hilbert-Huang transform

핵심용어: 수중소음원, 끝점탐지, 영교차율, 특징추출, 힐버트-후앙 변환

Abstract

Underwater ambient noise originating from geophysical, biological, and man-made acoustic sources contains information on the source and the ocean environment. Such noise affectsthe performance of sonar equipment. In this paper, three steps are used to identify the ambient noise source, detection, feature extraction, and similarity measurement. First, we use the zero-crossing rate to detect the ambient noisesource from backgroundnoise. Then, a set of feature vectors is proposed forthe ambient noise source using the Hilbert-Huang transform and the Karhunen-Loeve transform. Finally, the Euclidean distance is used to measure the similarity between the standard feature vector and the feature vector of the unknown ambient noise source. The developed algorithm is applied to the observed ocean data, and the results are presented and discussed.