Time-Reversal Imaging for Wideband Underwater Target Classification

Hongwei Liu; Nilanjan Dasgupta; Lawrence Carin

Time-Reversal Imaging for Wideband Underwater Target Classification

Hongwei Liu, Nilanjan Dasgupta, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Time-reversal imaging is addressed for sensing an elastic target situated in an acoustic waveguide. It is demonstrated that the channel parameters associated with a given measurement may be determined via a genetic-algorithm (GA) search in parameter space. Target classification based on time-reversal imagery is considered, with this implemented via a relevance-vector machine.

Original language	English (US)
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages	5-8
Number of pages	4
State	Published - Sep 25 2003
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-09

Cite this

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title = "Time-Reversal Imaging for Wideband Underwater Target Classification",

abstract = "Time-reversal imaging is addressed for sensing an elastic target situated in an acoustic waveguide. It is demonstrated that the channel parameters associated with a given measurement may be determined via a genetic-algorithm (GA) search in parameter space. Target classification based on time-reversal imagery is considered, with this implemented via a relevance-vector machine.",

author = "Hongwei Liu and Nilanjan Dasgupta and Lawrence Carin",

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AU - Carin, Lawrence

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PY - 2003/9/25

Y1 - 2003/9/25

N2 - Time-reversal imaging is addressed for sensing an elastic target situated in an acoustic waveguide. It is demonstrated that the channel parameters associated with a given measurement may be determined via a genetic-algorithm (GA) search in parameter space. Target classification based on time-reversal imagery is considered, with this implemented via a relevance-vector machine.

AB - Time-reversal imaging is addressed for sensing an elastic target situated in an acoustic waveguide. It is demonstrated that the channel parameters associated with a given measurement may be determined via a genetic-algorithm (GA) search in parameter space. Target classification based on time-reversal imagery is considered, with this implemented via a relevance-vector machine.

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M3 - Conference contribution

SP - 5

EP - 8

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ER -

Time-Reversal Imaging for Wideband Underwater Target Classification

Abstract

Bibliographical note

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