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

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2 Author(s)
Paris, S. ; Signal Inf. et Systemes Lab., Univ. de Toulon et du Var, La Garde, France ; Jauffret, C.

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.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:39 ,  Issue: 2 )