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

Hongwei Liu, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
DOIs
StatePublished - Jan 1 2002
Externally publishedYes

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