An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.

Global navigation satellite system (GNSS) is a well-established sensors in the recent ionosphere research. By comparing with classical meteorological equipments, the GNSS application can obtain more reliable and precious ionospheric total electron content (TEC) result. However, the most used GNSS io...

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Autores principales:	Rushang Jia, Xumin Yu, Jianping Xing, Yafei Ning, Hecheng Sun
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5c3904b8f568403a83c1701b219f165b
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id	oai:doaj.org-article:5c3904b8f568403a83c1701b219f165b
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spelling	oai:doaj.org-article:5c3904b8f568403a83c1701b219f165b2021-12-02T20:05:41ZAn improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.1932-620310.1371/journal.pone.0250613https://doaj.org/article/5c3904b8f568403a83c1701b219f165b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0250613https://doaj.org/toc/1932-6203Global navigation satellite system (GNSS) is a well-established sensors in the recent ionosphere research. By comparing with classical meteorological equipments, the GNSS application can obtain more reliable and precious ionospheric total electron content (TEC) result. However, the most used GNSS ionospheric tomography technique is sensitive to a priori information due to the sparse and non-uniform distribution of GNSS stations. In this paper, we propose an improved method based on adaptive Laplacian smoothing and algebraic reconstruction technique (ALS-ART). Compared with traditional constant constraints, this method is less dependent on a priori information and adaptive smoothing constraints is closer to the actual situation. Tomography experiments using simulated data show that reconstruction accuracy of ionospheric electron density using ALS-ART method is significantly improved. We also use the method to do the analysis of real observation data and compare the tomography results with ionosonde observation data. The results demonstrate the superiority and reliability of the proposed method compared to traditional constant constraints method which will further improve the capability of obtaining precious ionosphere TEC by using GNSS.Rushang JiaXumin YuJianping XingYafei NingHecheng SunPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0250613 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rushang Jia Xumin Yu Jianping Xing Yafei Ning Hecheng Sun An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.
description	Global navigation satellite system (GNSS) is a well-established sensors in the recent ionosphere research. By comparing with classical meteorological equipments, the GNSS application can obtain more reliable and precious ionospheric total electron content (TEC) result. However, the most used GNSS ionospheric tomography technique is sensitive to a priori information due to the sparse and non-uniform distribution of GNSS stations. In this paper, we propose an improved method based on adaptive Laplacian smoothing and algebraic reconstruction technique (ALS-ART). Compared with traditional constant constraints, this method is less dependent on a priori information and adaptive smoothing constraints is closer to the actual situation. Tomography experiments using simulated data show that reconstruction accuracy of ionospheric electron density using ALS-ART method is significantly improved. We also use the method to do the analysis of real observation data and compare the tomography results with ionosonde observation data. The results demonstrate the superiority and reliability of the proposed method compared to traditional constant constraints method which will further improve the capability of obtaining precious ionosphere TEC by using GNSS.
format	article
author	Rushang Jia Xumin Yu Jianping Xing Yafei Ning Hecheng Sun
author_facet	Rushang Jia Xumin Yu Jianping Xing Yafei Ning Hecheng Sun
author_sort	Rushang Jia
title	An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.
title_short	An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.
title_full	An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.
title_fullStr	An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.
title_full_unstemmed	An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.
title_sort	improved method using adaptive smoothing for gnss tomographic imaging of ionosphere.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5c3904b8f568403a83c1701b219f165b
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An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere.

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