Minimum Hellinger Distance based classification of underwater acoustic signals

Author

Bissinger, B.E. ; Culver, R.L. ; Bose, N.K.

Author_Institution

Electr. Eng. Dept., Pennsylvania State Univ., State College, PA

fYear

2009

fDate

18-20 March 2009

Firstpage

47

Lastpage

49

Abstract

Source classification and localization in the underwater environment is a challenging problem in part because propagation through the space- and time-varying medium introduces uncertainty in the signal. Coupled with uncertainty in environmental parameters, this uncertainty in received signals leads to a statistical treatment. Minimum Hellinger distance (MHD) methods provide a robust and efficient framework for making classification decisions in this context.

Keywords

acoustic signal processing; decision making; signal classification; statistical analysis; underwater acoustic propagation; acoustic propagation; decision making; environmental parameters; minimum Hellinger distance; signal classification; signal uncertainty; source classification; source localization; space-varying medium; statistical treatment; time-varying medium; underwater acoustic signal; Acoustic propagation; Acoustic testing; Magnetohydrodynamics; Oceans; Probability density function; Robustness; Signal processing; Statistics; Uncertainty; Underwater acoustics; Hellinger Distance; Minimum Distance Classification; Underwater Acoustics;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on

Conference_Location

Baltimore, MD

Print_ISBN

978-1-4244-2733-8

Electronic_ISBN

978-1-4244-2734-5

Type

conf

DOI

10.1109/CISS.2009.5054688

Filename

5054688