Frequency line tracking using HMM-based schemes [passive sonar]

Author

Paris, Sébastien ; Jauffret, Claude

Author_Institution

Signal Inf. et Systemes Lab., Univ. de Toulon et du Var, La Garde, France

Volume

39

Issue

2

fYear

2003

fDate

4/1/2003 12:00:00 AM

Firstpage

439

Lastpage

449

Abstract

This paper deals with fluctuating line tracking, present on the so-called lofargram (low frequency analysis and recording) encountered in any passive sonar system. Considering such a line as a random walk modeled by a first-order Markov chain, we have recourse to the hidden Markov models (HMMs) arsenal. More precisely, we propose to track a frequency line with Viterbi and forward-backward algorithms. The originality of this work comes from the fact that a "probabilistic integration of the spectral power" approach allows us to construct a signal-to-noise (SNR)-knowledge-free method. Intensive simulations reveal no loss of performance.

Keywords

fluctuations; hidden Markov models; maximum likelihood estimation; sonar detection; sonar signal processing; sonar target recognition; sonar tracking; HMM-based frequency line tracking; SNR; Viterbi algorithms; first-order Markov chain random walk modeling; forward-backward algorithms; hidden Markov models; lofargram fluctuating line tracking; low frequency analysis/recording; passive sonar systems; signal-to-noise-knowledge-free methods; sonar fluctuating line tracking; spectral power probabilistic integration; Discrete Fourier transforms; Frequency estimation; Hidden Markov models; Laboratories; Performance loss; Personal digital assistants; Power system modeling; Sonar detection; Target tracking; Viterbi algorithm;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2003.1207256

Filename

1207256