Class-based target classification in shallow water channel based on hidden Markov model

Hongwei Liu; Lawrence Carin

doi:10.1109/icassp.2002.5745252

Class-based target classification in shallow water channel based on hidden Markov model

Hongwei Liu, Lawrence Carin

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

3 Scopus citations

Abstract

This paper presents a class-based classification approach for targets in a shallow water channel, based on a waveguide propagation model and a Hidden Markov Model (HMM). We utilize the time-frequency properties of wave propagation in a shallow water channel to extract the channel-parameter-independent features, then build a class-based HMM to realize target classification based on multi-aspect scattering data. The accuracy of this approach is demonstrated by simulated results.

Original language	English (US)
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
DOIs	https://doi.org/10.1109/icassp.2002.5745252
State	Published - Jan 1 2002
Externally published	Yes

Bibliographical note

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

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10.1109/icassp.2002.5745252

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title = "Class-based target classification in shallow water channel based on hidden Markov model",

abstract = "This paper presents a class-based classification approach for targets in a shallow water channel, based on a waveguide propagation model and a Hidden Markov Model (HMM). We utilize the time-frequency properties of wave propagation in a shallow water channel to extract the channel-parameter-independent features, then build a class-based HMM to realize target classification based on multi-aspect scattering data. The accuracy of this approach is demonstrated by simulated results.",

author = "Hongwei Liu and Lawrence Carin",

note = "Generated from Scopus record by KAUST IRTS on 2021-02-09",

year = "2002",

month = jan,

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doi = "10.1109/icassp.2002.5745252",

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booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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AU - Carin, Lawrence

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PY - 2002/1/1

Y1 - 2002/1/1

N2 - This paper presents a class-based classification approach for targets in a shallow water channel, based on a waveguide propagation model and a Hidden Markov Model (HMM). We utilize the time-frequency properties of wave propagation in a shallow water channel to extract the channel-parameter-independent features, then build a class-based HMM to realize target classification based on multi-aspect scattering data. The accuracy of this approach is demonstrated by simulated results.

AB - This paper presents a class-based classification approach for targets in a shallow water channel, based on a waveguide propagation model and a Hidden Markov Model (HMM). We utilize the time-frequency properties of wave propagation in a shallow water channel to extract the channel-parameter-independent features, then build a class-based HMM to realize target classification based on multi-aspect scattering data. The accuracy of this approach is demonstrated by simulated results.

UR - http://ieeexplore.ieee.org/document/5745252/

UR - http://www.scopus.com/inward/record.url?scp=0036291363&partnerID=8YFLogxK

U2 - 10.1109/icassp.2002.5745252

DO - 10.1109/icassp.2002.5745252

M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Class-based target classification in shallow water channel based on hidden Markov model

Abstract

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