A new method for processing passive sonar data

Author

Wood, T. ; Allwright, D. ; Bond, P. ; Long, S. ; Moroz, I.

Author_Institution

OCIAM, Univ. of Oxford, Oxford, UK

fYear

2010

fDate

26-29 July 2010

Firstpage

1

Lastpage

7

Abstract

Processing passive sonar data involves detecting and monitoring tones present in an audio signal. A new method for processing passive sonar data is proposed. The method includes a pre-processing step using Radon and wavelet transforms, which is shown to improve the receiver operating characteristics of the data. After pre-processing, the extraction of continuously present frequencies from the data is treated as a multitarget tracking problem in the frequency-frequency rate domain. Frequency tracks are extracted using the probability hypothesis density filter from the theory of finite set statistics. Results from application of the method to both simulated and real passive sonar data are presented.

Keywords

Radon transforms; audio signal processing; filtering theory; sonar signal processing; sonar tracking; statistics; target tracking; wavelet transforms; Radon transforms; audio signal; finite set statistics; frequency-frequency rate domain; multitarget tracking; passive sonar data processing; probability hypothesis density filter; tone detection; tone monitoring; wavelet transforms; Noise; Noise reduction; Sonar; Time frequency analysis; Wavelet transforms; PHD filter; Passive sonar; finite set statistics; radon transform; tracking; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2010 13th Conference on

Conference_Location

Edinburgh

Print_ISBN

978-0-9824438-1-1

Type

conf

DOI

10.1109/ICIF.2010.5711992

Filename

5711992