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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fttriple:oai:gotriple.eu:10670/1.qvpv4l 2023-05-15T13:54:13+02:00 Passive stochastic matched filter for Antarctic blue whale call detection Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem https://doi.org/10.1121/1.5050520 https://archimer.ifremer.fr/doc/00600/71179/69530.pdf https://archimer.ifremer.fr/doc/00600/71179/ en eng Acoustical Soc Amer Amer Inst Physics doi:10.1121/1.5050520 10670/1.qvpv4l https://archimer.ifremer.fr/doc/00600/71179/69530.pdf https://archimer.ifremer.fr/doc/00600/71179/ Archimer, archive institutionnelle de l'Ifremer Journal Of The Acoustical Society Of America (0001-4966) (Acoustical Soc Amer Amer Inst Physics), 2018-08 , Vol. 144 , N. 2 , P. 955-965 geo envir Text https://vocabularies.coar-repositories.org/resource_types/c_18cf/ fttriple https://doi.org/10.1121/1.5050520 2023-01-22T18:44:27Z 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. Text Antarc* Antarctic Blue whale Unknown Antarctic The Journal of the Acoustical Society of America 144 2 955 965 |
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geo envir Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem Passive stochastic matched filter for Antarctic blue whale call detection |
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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 |
Text |
author |
Bouffaut, Lea Dreo, Richard Labat, Valerie Boudraa, Abdel-o. Barruol, Guilhem |
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 |
url |
https://doi.org/10.1121/1.5050520 https://archimer.ifremer.fr/doc/00600/71179/69530.pdf 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 |
Archimer, archive institutionnelle de l'Ifremer 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 |
doi:10.1121/1.5050520 10670/1.qvpv4l https://archimer.ifremer.fr/doc/00600/71179/69530.pdf https://archimer.ifremer.fr/doc/00600/71179/ |
op_doi |
https://doi.org/10.1121/1.5050520 |
container_title |
The Journal of the Acoustical Society of America |
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144 |
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2 |
container_start_page |
955 |
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965 |
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