Frequency line tracking on a lofargram: an efficient wedding between probabilistic data association modelling and dynamic programming technique

Author

Jauffret, Claude ; Bouchet, Damien

Author_Institution

DCN/ING/SUD, Chemin de la Gardiole, Le Brusc, France

Volume

1

fYear

1996

fDate

3-6 Nov. 1996

Firstpage

486

Abstract

This paper deals with the problem of frequency line extraction in a lofargram which is encountered in a passive sonar system. Using adequate probabilistic data association (PDA) modelling and the principle of dynamic programming, we propose a new algorithm of frequency line tracking in the presence of false alarms. Results are presented for several signal to noise ratios: the results show that this new algorithm is able to extract a frequency line correctly when the signal to noise ratio is higher than 4 dB on the lofargram (or -23 dB on the temporal signal, before a 512 point FFT).

Keywords

dynamic programming; feature extraction; sonar signal processing; spectral analysis; dynamic programming; false alarms; frequency line extraction; frequency line tracking; lofargram; passive sonar system; probabilistic data association modelling; signal to noise ratio; Data mining; Dynamic programming; Face detection; Frequency estimation; Hidden Markov models; Motion measurement; Sampling methods; Signal to noise ratio; Sonar measurements; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7646-9

Type

conf

DOI

10.1109/ACSSC.1996.600963

Filename

600963