Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water

Shallow water is a complex sound propagation medium, which is affected by the varying spatial–temporal ocean environment. Taking this complexity into account, the classical processing techniques of source localization and environmental inversion may be improved. In this work, a joint tracking approa...

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Autores principales:	Miao Dai, Yaan Li, Jinying Ye, Kunde Yang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	source localization environmental inversion improved PF uncertainty estimate Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/23d3c30003904fac8212c120826b2ed1
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id	oai:doaj.org-article:23d3c30003904fac8212c120826b2ed1
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spelling	oai:doaj.org-article:23d3c30003904fac8212c120826b2ed12021-11-25T18:04:16ZJoint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water10.3390/jmse91112032077-1312https://doaj.org/article/23d3c30003904fac8212c120826b2ed12021-10-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1203https://doaj.org/toc/2077-1312Shallow water is a complex sound propagation medium, which is affected by the varying spatial–temporal ocean environment. Taking this complexity into account, the classical processing techniques of source localization and environmental inversion may be improved. In this work, a joint tracking approach for the moving source and environmental parameters of the range-dependent and time-evolving environment in shallow water is presented. The tracking scheme treats both the source parameters (e.g., source depth, range, and speed) and the environmental parameters (e.g., water column sound speed profile (SSP) and sediment parameters) at the source location as unknown variables that evolve as the source moves. To counter sample impoverishment and robustly characterize the evolution of the parameters, an improved particle filter (PF), which is an extension of the standard PF, is proposed. Two examples with simulated data in a slowly changing environment and experimental data collected during the ASIAEX experiment are utilized to demonstrate the effectiveness of the joint approach. The results show that we were able to track the source and environmental parameters simultaneously, and the uncertainties were evaluated in the form of time-evolving posterior probability densities (PPDs). The performance comparison confirms that the improved PF is superior to the standard PF, as it can reduce the parameter uncertainties. The tracking capabilities of the improved PF were verified with high accuracy in real-time source localization and well-estimated rapidly varying parameters. Moreover, the influence of different particle numbers on the improved PF tracking performance is also illustrated.Miao DaiYaan LiJinying YeKunde YangMDPI AGarticlesource localizationenvironmental inversionimproved PFuncertainty estimateNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1203, p 1203 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	source localization environmental inversion improved PF uncertainty estimate Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	source localization environmental inversion improved PF uncertainty estimate Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Miao Dai Yaan Li Jinying Ye Kunde Yang Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water
description	Shallow water is a complex sound propagation medium, which is affected by the varying spatial–temporal ocean environment. Taking this complexity into account, the classical processing techniques of source localization and environmental inversion may be improved. In this work, a joint tracking approach for the moving source and environmental parameters of the range-dependent and time-evolving environment in shallow water is presented. The tracking scheme treats both the source parameters (e.g., source depth, range, and speed) and the environmental parameters (e.g., water column sound speed profile (SSP) and sediment parameters) at the source location as unknown variables that evolve as the source moves. To counter sample impoverishment and robustly characterize the evolution of the parameters, an improved particle filter (PF), which is an extension of the standard PF, is proposed. Two examples with simulated data in a slowly changing environment and experimental data collected during the ASIAEX experiment are utilized to demonstrate the effectiveness of the joint approach. The results show that we were able to track the source and environmental parameters simultaneously, and the uncertainties were evaluated in the form of time-evolving posterior probability densities (PPDs). The performance comparison confirms that the improved PF is superior to the standard PF, as it can reduce the parameter uncertainties. The tracking capabilities of the improved PF were verified with high accuracy in real-time source localization and well-estimated rapidly varying parameters. Moreover, the influence of different particle numbers on the improved PF tracking performance is also illustrated.
format	article
author	Miao Dai Yaan Li Jinying Ye Kunde Yang
author_facet	Miao Dai Yaan Li Jinying Ye Kunde Yang
author_sort	Miao Dai
title	Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water
title_short	Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water
title_full	Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water
title_fullStr	Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water
title_full_unstemmed	Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water
title_sort	joint tracking of source and environment using improved particle filtering in shallow water
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/23d3c30003904fac8212c120826b2ed1
work_keys_str_mv	AT miaodai jointtrackingofsourceandenvironmentusingimprovedparticlefilteringinshallowwater AT yaanli jointtrackingofsourceandenvironmentusingimprovedparticlefilteringinshallowwater AT jinyingye jointtrackingofsourceandenvironmentusingimprovedparticlefilteringinshallowwater AT kundeyang jointtrackingofsourceandenvironmentusingimprovedparticlefilteringinshallowwater
_version_	1718411668107558912

Joint Tracking of Source and Environment Using Improved Particle Filtering in Shallow Water

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