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Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model

This paper proposes a new optimized parameter model that enhances the pointing accuracy of moving-platform electro-optical telescopes (MPEOTs). The study begins by comprehensively analyzing the error sources, including the telescope and the platform navigation system. Next, a linear pointing correct...

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Detalles Bibliográficos
Autores principales: He, Yan, Zhang, Yahui, Feng, Xiaohua, Deng, Shuwei, Wang, Zhiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147074/
https://www.ncbi.nlm.nih.gov/pubmed/37112462
http://dx.doi.org/10.3390/s23084121
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author He, Yan
Zhang, Yahui
Feng, Xiaohua
Deng, Shuwei
Wang, Zhiwen
author_facet He, Yan
Zhang, Yahui
Feng, Xiaohua
Deng, Shuwei
Wang, Zhiwen
author_sort He, Yan
collection PubMed
description This paper proposes a new optimized parameter model that enhances the pointing accuracy of moving-platform electro-optical telescopes (MPEOTs). The study begins by comprehensively analyzing the error sources, including the telescope and the platform navigation system. Next, a linear pointing correction model is established based on the target positioning process. To eliminate multicollinearity, stepwise regression is applied to obtain the optimized parameter model. The experimental results show that the MPEOT corrected by this model outperforms the mount model, with pointing errors of less than 50 arcsec for approximately 23 h. In the three tests conducted, the modified azimuth error(s) (RMS) were 14.07″, 12.71″, and 28.93″, and the elevation error(s) (RMS) were 12.94″, 12.73″, and 28.30″, respectively.
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spelling pubmed-101470742023-04-29 Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model He, Yan Zhang, Yahui Feng, Xiaohua Deng, Shuwei Wang, Zhiwen Sensors (Basel) Article This paper proposes a new optimized parameter model that enhances the pointing accuracy of moving-platform electro-optical telescopes (MPEOTs). The study begins by comprehensively analyzing the error sources, including the telescope and the platform navigation system. Next, a linear pointing correction model is established based on the target positioning process. To eliminate multicollinearity, stepwise regression is applied to obtain the optimized parameter model. The experimental results show that the MPEOT corrected by this model outperforms the mount model, with pointing errors of less than 50 arcsec for approximately 23 h. In the three tests conducted, the modified azimuth error(s) (RMS) were 14.07″, 12.71″, and 28.93″, and the elevation error(s) (RMS) were 12.94″, 12.73″, and 28.30″, respectively. MDPI 2023-04-20 /pmc/articles/PMC10147074/ /pubmed/37112462 http://dx.doi.org/10.3390/s23084121 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
He, Yan
Zhang, Yahui
Feng, Xiaohua
Deng, Shuwei
Wang, Zhiwen
Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model
title Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model
title_full Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model
title_fullStr Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model
title_full_unstemmed Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model
title_short Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model
title_sort pointing error correction for a moving-platform electro-optical telescope using an optimized parameter model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147074/
https://www.ncbi.nlm.nih.gov/pubmed/37112462
http://dx.doi.org/10.3390/s23084121
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