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A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals

Reliable and efficient sensing and tracking of multiple weak or time-varying frequency line components in underwater acoustic signals is the topic of this paper. We propose a method for automatic detection and tracking of multiple frequency lines in lofargram based on hidden Markov model (HMM). Inst...

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Detalles Bibliográficos
Autores principales: Luo, Xinwei, Shen, Zihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891505/
https://www.ncbi.nlm.nih.gov/pubmed/31717380
http://dx.doi.org/10.3390/s19224866
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author Luo, Xinwei
Shen, Zihan
author_facet Luo, Xinwei
Shen, Zihan
author_sort Luo, Xinwei
collection PubMed
description Reliable and efficient sensing and tracking of multiple weak or time-varying frequency line components in underwater acoustic signals is the topic of this paper. We propose a method for automatic detection and tracking of multiple frequency lines in lofargram based on hidden Markov model (HMM). Instead of being directly subjected to frequency line tracking, the whole lofargram is first segmented into several sub-lofargrams. Then, the sub-lofargrams suspected to contain frequency lines are screened. In these sub-lofargrams, the HMM-based method is used for detection of multiple frequency lines. Using image stitching and statistical model method, the frequency lines with overlapping parts detected by different sub-lofargrams are merged to obtain the final detection results. The method can effectively detect multiple time-varying frequency lines of underwater acoustic signals while ensuring the performance under the condition of low signal-to-noise ratio (SNR). It can be concluded that the proposed algorithm can provide better multiple frequency lines sensing ability while greatly reducing the amount of calculations and providing potential techniques for feature sensing and tracking processing of unattended equipment such as sonar buoys and submerged buoys.
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spelling pubmed-68915052019-12-18 A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals Luo, Xinwei Shen, Zihan Sensors (Basel) Article Reliable and efficient sensing and tracking of multiple weak or time-varying frequency line components in underwater acoustic signals is the topic of this paper. We propose a method for automatic detection and tracking of multiple frequency lines in lofargram based on hidden Markov model (HMM). Instead of being directly subjected to frequency line tracking, the whole lofargram is first segmented into several sub-lofargrams. Then, the sub-lofargrams suspected to contain frequency lines are screened. In these sub-lofargrams, the HMM-based method is used for detection of multiple frequency lines. Using image stitching and statistical model method, the frequency lines with overlapping parts detected by different sub-lofargrams are merged to obtain the final detection results. The method can effectively detect multiple time-varying frequency lines of underwater acoustic signals while ensuring the performance under the condition of low signal-to-noise ratio (SNR). It can be concluded that the proposed algorithm can provide better multiple frequency lines sensing ability while greatly reducing the amount of calculations and providing potential techniques for feature sensing and tracking processing of unattended equipment such as sonar buoys and submerged buoys. MDPI 2019-11-08 /pmc/articles/PMC6891505/ /pubmed/31717380 http://dx.doi.org/10.3390/s19224866 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Luo, Xinwei
Shen, Zihan
A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals
title A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals
title_full A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals
title_fullStr A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals
title_full_unstemmed A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals
title_short A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals
title_sort sensing and tracking algorithm for multiple frequency line components in underwater acoustic signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891505/
https://www.ncbi.nlm.nih.gov/pubmed/31717380
http://dx.doi.org/10.3390/s19224866
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