Passive stochastic matched filter for Antarctic blue whale call detection
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 maximizin...
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ftarchimer:oai:archimer.ifremer.fr:71179 2023-05-15T13:47:36+02:00 Passive stochastic matched filter for Antarctic blue whale call detection Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem 2018-08 application/pdf https://archimer.ifremer.fr/doc/00600/71179/69530.pdf https://doi.org/10.1121/1.5050520 https://archimer.ifremer.fr/doc/00600/71179/ eng eng Acoustical Soc Amer Amer Inst Physics https://archimer.ifremer.fr/doc/00600/71179/69530.pdf doi:10.1121/1.5050520 https://archimer.ifremer.fr/doc/00600/71179/ info:eu-repo/semantics/openAccess restricted use Journal Of The Acoustical Society Of America (0001-4966) (Acoustical Soc Amer Amer Inst Physics), 2018-08 , Vol. 144 , N. 2 , P. 955-965 text Publication info:eu-repo/semantics/article 2018 ftarchimer https://doi.org/10.1121/1.5050520 2021-09-23T20:34:17Z 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 thorn MF). Its performances are assessed on 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 thorn 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 thorn 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 similar or equal to 30 km in presence of ship noise with equivalent false discovery rate. Article in Journal/Newspaper Antarc* Antarctic Blue whale Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Antarctic The Journal of the Acoustical Society of America 144 2 955 965 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
description |
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 thorn MF). Its performances are assessed on 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 thorn 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 thorn 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 similar or equal to 30 km in presence of ship noise with equivalent false discovery rate. |
format |
Article in Journal/Newspaper |
author |
Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem |
spellingShingle |
Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem Passive stochastic matched filter for Antarctic blue whale call detection |
author_facet |
Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem |
author_sort |
Bouffaut, Lea |
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 |
Acoustical Soc Amer Amer Inst Physics |
publishDate |
2018 |
url |
https://archimer.ifremer.fr/doc/00600/71179/69530.pdf https://doi.org/10.1121/1.5050520 https://archimer.ifremer.fr/doc/00600/71179/ |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Blue whale |
genre_facet |
Antarc* Antarctic Blue whale |
op_source |
Journal Of The Acoustical Society Of America (0001-4966) (Acoustical Soc Amer Amer Inst Physics), 2018-08 , Vol. 144 , N. 2 , P. 955-965 |
op_relation |
https://archimer.ifremer.fr/doc/00600/71179/69530.pdf doi:10.1121/1.5050520 https://archimer.ifremer.fr/doc/00600/71179/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1121/1.5050520 |
container_title |
The Journal of the Acoustical Society of America |
container_volume |
144 |
container_issue |
2 |
container_start_page |
955 |
op_container_end_page |
965 |
_version_ |
1766247515717369856 |