Mode filtering approaches to acoustic source depth discrimination

Vincent E. Premus; James Ward; Christ D. Richmond

Mode filtering approaches to acoustic source depth discrimination

Vincent E. Premus, James Ward, Christ D. Richmond

Research output: Contribution to journal › Conference article › peer-review

Abstract

Mode filtering in passive sonar represents a class of linear beamforming approaches in which the steering vectors are parameterized by the depth-dependent mode functions and horizontal wavenumbers that characterize propagation in a shallow waveguide. In this work, a mode-filter beamformer is combined with different decision metrics for the purpose of classifying the depth of an acoustic source. The concept is based on the premise that deep and shallow sources robustly separate in mode space. Experimental results using SwellEx-96 vertical line array data will be shown. Performance dependence on parameters such as frequency and aperture sampling will be discussed.

Original language	English (US)
Pages (from-to)	1415-1420
Number of pages	6
Journal	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2
State	Published - Dec 1 2004
Externally published	Yes
Event	Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 7 2004 → Nov 10 2004

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Cite this

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abstract = "Mode filtering in passive sonar represents a class of linear beamforming approaches in which the steering vectors are parameterized by the depth-dependent mode functions and horizontal wavenumbers that characterize propagation in a shallow waveguide. In this work, a mode-filter beamformer is combined with different decision metrics for the purpose of classifying the depth of an acoustic source. The concept is based on the premise that deep and shallow sources robustly separate in mode space. Experimental results using SwellEx-96 vertical line array data will be shown. Performance dependence on parameters such as frequency and aperture sampling will be discussed.",

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T1 - Mode filtering approaches to acoustic source depth discrimination

AU - Premus, Vincent E.

AU - Ward, James

AU - Richmond, Christ D.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - Mode filtering in passive sonar represents a class of linear beamforming approaches in which the steering vectors are parameterized by the depth-dependent mode functions and horizontal wavenumbers that characterize propagation in a shallow waveguide. In this work, a mode-filter beamformer is combined with different decision metrics for the purpose of classifying the depth of an acoustic source. The concept is based on the premise that deep and shallow sources robustly separate in mode space. Experimental results using SwellEx-96 vertical line array data will be shown. Performance dependence on parameters such as frequency and aperture sampling will be discussed.

AB - Mode filtering in passive sonar represents a class of linear beamforming approaches in which the steering vectors are parameterized by the depth-dependent mode functions and horizontal wavenumbers that characterize propagation in a shallow waveguide. In this work, a mode-filter beamformer is combined with different decision metrics for the purpose of classifying the depth of an acoustic source. The concept is based on the premise that deep and shallow sources robustly separate in mode space. Experimental results using SwellEx-96 vertical line array data will be shown. Performance dependence on parameters such as frequency and aperture sampling will be discussed.

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M3 - Conference article

AN - SCOPUS:21644441483

SN - 1058-6393

VL - 2

SP - 1415

EP - 1420

JO - Conference Record - Asilomar Conference on Signals, Systems and Computers

JF - Conference Record - Asilomar Conference on Signals, Systems and Computers

T2 - Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers

Y2 - 7 November 2004 through 10 November 2004

ER -

Mode filtering approaches to acoustic source depth discrimination

Abstract

ASJC Scopus subject areas

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