Passive stochastic matched filter for Antarctic blue whale call detection
International audience As a first step to Antarctic blue whale (ABW) monitoring using passive acoustics, a method based on the stochastic matched filter (SMF) is proposed. Derived from the matched filter (MF), this filter-based denoising method enhances stochastic signals embedded in an additive col...
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ftensamparis:oai:HAL:hal-02140767v1 2023-06-11T04:05:31+02:00 Passive stochastic matched filter for Antarctic blue whale call detection Bouffaut, Léa Dréo, Richard Labat, Valérie Boudraa, Abdel-Ouahab Barruol, Guilhem Institut de Recherche de l'Ecole Navale (IRENAV) Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) Institut de Physique du Globe de Paris (IPGP) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS) 2018-08 https://hal.science/hal-02140767 https://hal.science/hal-02140767/document https://hal.science/hal-02140767/file/IRENAV_JASA_2018_BOUFFAUT.pdf en eng HAL CCSD Acoustical Society of America hal-02140767 https://hal.science/hal-02140767 https://hal.science/hal-02140767/document https://hal.science/hal-02140767/file/IRENAV_JASA_2018_BOUFFAUT.pdf info:eu-repo/semantics/OpenAccess ISSN: 0001-4966 EISSN: 1520-8524 Journal of the Acoustical Society of America https://hal.science/hal-02140767 Journal of the Acoustical Society of America, 2018, 144 (2), pp.955-965 [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing info:eu-repo/semantics/article Journal articles 2018 ftensamparis 2023-05-06T20:48:59Z International audience As a first step to Antarctic blue whale (ABW) monitoring using passive acoustics, a method based on the stochastic matched filter (SMF) is proposed. Derived from the matched filter (MF), this filter-based denoising method enhances stochastic signals embedded in an additive colored noise by maximizing its output signal to noise ratio (SNR). These assumptions are well adapted to the passive detection of ABW calls where emitted signals are modified by the unknown impulse response of the propagation channel. A filter bank is computed and stored offline based on a priori knowledge of the signal second order statistics and simulated colored sea-noise. Then, the detection relies on online background noise and SNR estimation, realized using time-frequency analysis. The SMF output is cross-correlated with the signal’s reference (SMF þ MF). Its performances are assessedon an ccean bottom seismometer-recorded ground truth dataset of 845 ABW calls, where the location of the whale is known. This dataset provides great SNR variations in diverse soundscapes. The SMF þ MF performances are compared to the commonly used MF and to the Z-detector (a subspace detector for ABW calls). Mostly, the benefits of the use of the SMF þ MF are revealed on low signal to noise observations: in comparison to the MF with identical detection threshold, the false alarm rate drastically decreases while the detection rate stays high. Compared to the Z-detector, it allows the extension of the detection range of ’ 30 km in presence of ship noise with equivalent false discovery rate. Article in Journal/Newspaper Antarc* Antarctic Blue whale Portail HAL ENSAM (École nationale supérieure d'Arts et Métiers) Antarctic |
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collection |
Portail HAL ENSAM (École nationale supérieure d'Arts et Métiers) |
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ftensamparis |
language |
English |
topic |
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
spellingShingle |
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Bouffaut, Léa Dréo, Richard Labat, Valérie Boudraa, Abdel-Ouahab Barruol, Guilhem Passive stochastic matched filter for Antarctic blue whale call detection |
topic_facet |
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
description |
International audience As a first step to Antarctic blue whale (ABW) monitoring using passive acoustics, a method based on the stochastic matched filter (SMF) is proposed. Derived from the matched filter (MF), this filter-based denoising method enhances stochastic signals embedded in an additive colored noise by maximizing its output signal to noise ratio (SNR). These assumptions are well adapted to the passive detection of ABW calls where emitted signals are modified by the unknown impulse response of the propagation channel. A filter bank is computed and stored offline based on a priori knowledge of the signal second order statistics and simulated colored sea-noise. Then, the detection relies on online background noise and SNR estimation, realized using time-frequency analysis. The SMF output is cross-correlated with the signal’s reference (SMF þ MF). Its performances are assessedon an ccean bottom seismometer-recorded ground truth dataset of 845 ABW calls, where the location of the whale is known. This dataset provides great SNR variations in diverse soundscapes. The SMF þ MF performances are compared to the commonly used MF and to the Z-detector (a subspace detector for ABW calls). Mostly, the benefits of the use of the SMF þ MF are revealed on low signal to noise observations: in comparison to the MF with identical detection threshold, the false alarm rate drastically decreases while the detection rate stays high. Compared to the Z-detector, it allows the extension of the detection range of ’ 30 km in presence of ship noise with equivalent false discovery rate. |
author2 |
Institut de Recherche de l'Ecole Navale (IRENAV) Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) Institut de Physique du Globe de Paris (IPGP) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Bouffaut, Léa Dréo, Richard Labat, Valérie Boudraa, Abdel-Ouahab Barruol, Guilhem |
author_facet |
Bouffaut, Léa Dréo, Richard Labat, Valérie Boudraa, Abdel-Ouahab Barruol, Guilhem |
author_sort |
Bouffaut, Léa |
title |
Passive stochastic matched filter for Antarctic blue whale call detection |
title_short |
Passive stochastic matched filter for Antarctic blue whale call detection |
title_full |
Passive stochastic matched filter for Antarctic blue whale call detection |
title_fullStr |
Passive stochastic matched filter for Antarctic blue whale call detection |
title_full_unstemmed |
Passive stochastic matched filter for Antarctic blue whale call detection |
title_sort |
passive stochastic matched filter for antarctic blue whale call detection |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.science/hal-02140767 https://hal.science/hal-02140767/document https://hal.science/hal-02140767/file/IRENAV_JASA_2018_BOUFFAUT.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Blue whale |
genre_facet |
Antarc* Antarctic Blue whale |
op_source |
ISSN: 0001-4966 EISSN: 1520-8524 Journal of the Acoustical Society of America https://hal.science/hal-02140767 Journal of the Acoustical Society of America, 2018, 144 (2), pp.955-965 |
op_relation |
hal-02140767 https://hal.science/hal-02140767 https://hal.science/hal-02140767/document https://hal.science/hal-02140767/file/IRENAV_JASA_2018_BOUFFAUT.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1768376802232762368 |