Acoustic seabed classification using fractional Fourier transform

Madalina Barbu; Edit J. Kaminsky; Russell E. Trahan

doi:10.1117/12.666120

18 May 2006 Acoustic seabed classification using fractional Fourier transform

Madalina Barbu, Edit J. Kaminsky, Russell E. Trahan

Proceedings Volume 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI; 62171I (2006) https://doi.org/10.1117/12.666120
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

In this paper we present a time-frequency approach for acoustic seabed classification. Work reported is based on sonar data collected by the Volume Search Sonar (VSS), one of the five sonar systems in the AN/AQS-20. The Volume Search Sonar is a beamformed multibeam sonar system with 27 fore and 27 aft beams, covering almost the entire water volume (from above horizontal, through vertical, back to above horizontal). The processing of a data set of measurement in shallow water is performed using the Fractional Fourier Transform algorithm in order to determine the impulse response of the sediment. The Fractional Fourier transform requires finding the optimum order of the transform that can be estimated based on the properties of the transmitted signal. Singular Value Decomposition and statistical properties of the Wigner and Choi-Williams distributions of the bottom impulse response are employed as features which are, in turn, used for classification. The Wigner distribution can be thought of as a signal energy distribution in joint time-frequency domain. Results of our study show that the proposed technique allows for accurate sediment classification of seafloor bottom data. Experimental results are shown and suggestions for future work are provided.

Citation Download Citation

Madalina Barbu, Edit J. Kaminsky, and Russell E. Trahan "Acoustic seabed classification using fractional Fourier transform", Proc. SPIE 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI, 62171I (18 May 2006); https://doi.org/10.1117/12.666120

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available