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A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking

Spatial registration is the primary challenge affecting target tracking accuracy, especially for the aerial moving platform and sea target tracking. In this environment, it is important to account for both the errors in sensor observations and the variations in platform attitude. In order to solve t...

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Detalles Bibliográficos
Autores principales: Dai, Qiuyang, Lu, Faxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346780/
https://www.ncbi.nlm.nih.gov/pubmed/37447961
http://dx.doi.org/10.3390/s23136112
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author Dai, Qiuyang
Lu, Faxing
author_facet Dai, Qiuyang
Lu, Faxing
author_sort Dai, Qiuyang
collection PubMed
description Spatial registration is the primary challenge affecting target tracking accuracy, especially for the aerial moving platform and sea target tracking. In this environment, it is important to account for both the errors in sensor observations and the variations in platform attitude. In order to solve the problem of complex types of errors in the tracking of sea targets by aerial moving platforms, a new spatial registration algorithm is proposed. Through separating and analyzing observation data, the influence of sensor observation error and attitude error on observation data is obtained, and a systematic error consistency matrix is established. Based on observation information from multiple platforms, accurate tracking of sea targets can be accomplished without estimating systematic error. In order to verify the effectiveness of the algorithm, we carried out simulation experiments and practical experiments on the lake, which showed that the new algorithm was more efficient than traditional algorithms.
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spelling pubmed-103467802023-07-15 A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking Dai, Qiuyang Lu, Faxing Sensors (Basel) Article Spatial registration is the primary challenge affecting target tracking accuracy, especially for the aerial moving platform and sea target tracking. In this environment, it is important to account for both the errors in sensor observations and the variations in platform attitude. In order to solve the problem of complex types of errors in the tracking of sea targets by aerial moving platforms, a new spatial registration algorithm is proposed. Through separating and analyzing observation data, the influence of sensor observation error and attitude error on observation data is obtained, and a systematic error consistency matrix is established. Based on observation information from multiple platforms, accurate tracking of sea targets can be accomplished without estimating systematic error. In order to verify the effectiveness of the algorithm, we carried out simulation experiments and practical experiments on the lake, which showed that the new algorithm was more efficient than traditional algorithms. MDPI 2023-07-03 /pmc/articles/PMC10346780/ /pubmed/37447961 http://dx.doi.org/10.3390/s23136112 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dai, Qiuyang
Lu, Faxing
A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking
title A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking
title_full A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking
title_fullStr A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking
title_full_unstemmed A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking
title_short A New Spatial Registration Algorithm of Aerial Moving Platform to Sea Target Tracking
title_sort new spatial registration algorithm of aerial moving platform to sea target tracking
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346780/
https://www.ncbi.nlm.nih.gov/pubmed/37447961
http://dx.doi.org/10.3390/s23136112
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