Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection

In this paper, we explore the problem of removing atmospheric turbulence to obtain better images of remote sidereal star systems. The imaging process is remodeled as a transmit–receive wireless communication paradigm in a novel approach for correcting space- and time-varying blur in stell...

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Autores principales:	David Shiung, Ya-Yin Yang, Wen-Long Chin
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Atmospheric turbulence full-width at half maximum (FWHM) linear regression point spread function (PSF) Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/a348d22df480428aa8691080f3f8022d
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id	oai:doaj.org-article:a348d22df480428aa8691080f3f8022d
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spelling	oai:doaj.org-article:a348d22df480428aa8691080f3f8022d2021-11-20T00:01:18ZUsing Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection2169-353610.1109/ACCESS.2021.3126785https://doaj.org/article/a348d22df480428aa8691080f3f8022d2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9606878/https://doaj.org/toc/2169-3536In this paper, we explore the problem of removing atmospheric turbulence to obtain better images of remote sidereal star systems. The imaging process is remodeled as a transmit–receive wireless communication paradigm in a novel approach for correcting space- and time-varying blur in stellar images. In particular, the effect of starlight passing through atmospheric turbulence is modeled as multipath fading communication channels. The problem is then transformed into channel equalization in space and time domains to produce a sharp stellar image. This approach involves first estimating the center of a blurred stellar image. Next, linear regression obtains an equivalent two-dimensional channel response through decomposition of the blurred image into the weighted sum of the diffraction-limited patterns in the spatial domain. Finally, an alignment algorithm is implemented for synthesis, and a final output is generated. Experiments were performed with real field-captured images; the results revealed that this approach could be used to effectively correct image blur and obtain diffraction-limited stellar images.David ShiungYa-Yin YangWen-Long ChinIEEEarticleAtmospheric turbulencefull-width at half maximum (FWHM)linear regressionpoint spread function (PSF)Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 152903-152912 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Atmospheric turbulence full-width at half maximum (FWHM) linear regression point spread function (PSF) Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Atmospheric turbulence full-width at half maximum (FWHM) linear regression point spread function (PSF) Electrical engineering. Electronics. Nuclear engineering TK1-9971 David Shiung Ya-Yin Yang Wen-Long Chin Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection
description	In this paper, we explore the problem of removing atmospheric turbulence to obtain better images of remote sidereal star systems. The imaging process is remodeled as a transmit–receive wireless communication paradigm in a novel approach for correcting space- and time-varying blur in stellar images. In particular, the effect of starlight passing through atmospheric turbulence is modeled as multipath fading communication channels. The problem is then transformed into channel equalization in space and time domains to produce a sharp stellar image. This approach involves first estimating the center of a blurred stellar image. Next, linear regression obtains an equivalent two-dimensional channel response through decomposition of the blurred image into the weighted sum of the diffraction-limited patterns in the spatial domain. Finally, an alignment algorithm is implemented for synthesis, and a final output is generated. Experiments were performed with real field-captured images; the results revealed that this approach could be used to effectively correct image blur and obtain diffraction-limited stellar images.
format	article
author	David Shiung Ya-Yin Yang Wen-Long Chin
author_facet	David Shiung Ya-Yin Yang Wen-Long Chin
author_sort	David Shiung
title	Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection
title_short	Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection
title_full	Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection
title_fullStr	Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection
title_full_unstemmed	Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection
title_sort	using communication channel equalization to remove atmospheric turbulence in star signal detection
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/a348d22df480428aa8691080f3f8022d
work_keys_str_mv	AT davidshiung usingcommunicationchannelequalizationtoremoveatmosphericturbulenceinstarsignaldetection AT yayinyang usingcommunicationchannelequalizationtoremoveatmosphericturbulenceinstarsignaldetection AT wenlongchin usingcommunicationchannelequalizationtoremoveatmosphericturbulenceinstarsignaldetection
_version_	1718419854555348992

Using Communication Channel Equalization to Remove Atmospheric Turbulence in Star Signal Detection

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