Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging

Geosynchronous orbit synthetic aperture radar (GEO SAR) has a long integration time and a large imaging scene. Therefore, various nonideal factors are easily accumulated, introducing phase errors and degrading the imaging quality. Within the long integration time, tropospheric status changes with ti...

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Main Authors: Xichao Dong, Jiaqi Hu, Cheng Hu, Teng Long, Yuanhao Li, Ye Tian
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/7/803
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spelling doaj-a9f227d087044769afb936b484c39b822020-11-24T22:10:57ZengMDPI AGRemote Sensing2072-42922019-04-0111780310.3390/rs11070803rs11070803Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR ImagingXichao Dong0Jiaqi Hu1Cheng Hu2Teng Long3Yuanhao Li4Ye Tian5School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaDepartment of Geoscience and Remote Sensing, Delft University of Technology, 2628 CN Delft, The NetherlandsChina Academy of Electronics and Information Technology, Beijing 100081, ChinaGeosynchronous orbit synthetic aperture radar (GEO SAR) has a long integration time and a large imaging scene. Therefore, various nonideal factors are easily accumulated, introducing phase errors and degrading the imaging quality. Within the long integration time, tropospheric status changes with time and space, which will result in image shifts and defocusing. According to the characteristics of GEO SAR, the modeling, and quantitative analysis of background troposphere and turbulence are conducted. For background troposphere, the accurate GEO SAR signal spectrum, which takes into account the time-varying troposphere, is deduced. The influences of different rates of changing (ROC) of troposphere with time are analyzed. Finally, results are verified using the refractive index profile data from Fengyun (FY) 3C satellite and the tropospheric zenith delays data from international GNSS service (IGS). The time–space changes of troposphere can cause image shifts which only depend on the satellite beam-foot velocity and the linear ROC of troposphere. The image defocusing is related to the wavelength, resolution requirement, and the second and higher orders of ROC. The short-wavelength GEO SAR systems are more susceptible to impacts, while L-band GEO SAR will be affected when the integration time becomes longer. Tropospheric turbulence will cause the amplitude and phase random fluctuations resulting in image defocusing. However, in the natural environment, radio waves are very weakly affected by turbulence, and the medium-inclined GEO SAR of L- to C-band will not be affected, while the X-band will be influenced slightly.https://www.mdpi.com/2072-4292/11/7/803Geosynchronous SARtroposphereturbulencephase screen theory
collection DOAJ
language English
format Article
sources DOAJ
author Xichao Dong
Jiaqi Hu
Cheng Hu
Teng Long
Yuanhao Li
Ye Tian
spellingShingle Xichao Dong
Jiaqi Hu
Cheng Hu
Teng Long
Yuanhao Li
Ye Tian
Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging
Remote Sensing
Geosynchronous SAR
troposphere
turbulence
phase screen theory
author_facet Xichao Dong
Jiaqi Hu
Cheng Hu
Teng Long
Yuanhao Li
Ye Tian
author_sort Xichao Dong
title Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging
title_short Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging
title_full Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging
title_fullStr Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging
title_full_unstemmed Modeling and Quantitative Analysis of Tropospheric Impact on Inclined Geosynchronous SAR Imaging
title_sort modeling and quantitative analysis of tropospheric impact on inclined geosynchronous sar imaging
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-04-01
description Geosynchronous orbit synthetic aperture radar (GEO SAR) has a long integration time and a large imaging scene. Therefore, various nonideal factors are easily accumulated, introducing phase errors and degrading the imaging quality. Within the long integration time, tropospheric status changes with time and space, which will result in image shifts and defocusing. According to the characteristics of GEO SAR, the modeling, and quantitative analysis of background troposphere and turbulence are conducted. For background troposphere, the accurate GEO SAR signal spectrum, which takes into account the time-varying troposphere, is deduced. The influences of different rates of changing (ROC) of troposphere with time are analyzed. Finally, results are verified using the refractive index profile data from Fengyun (FY) 3C satellite and the tropospheric zenith delays data from international GNSS service (IGS). The time–space changes of troposphere can cause image shifts which only depend on the satellite beam-foot velocity and the linear ROC of troposphere. The image defocusing is related to the wavelength, resolution requirement, and the second and higher orders of ROC. The short-wavelength GEO SAR systems are more susceptible to impacts, while L-band GEO SAR will be affected when the integration time becomes longer. Tropospheric turbulence will cause the amplitude and phase random fluctuations resulting in image defocusing. However, in the natural environment, radio waves are very weakly affected by turbulence, and the medium-inclined GEO SAR of L- to C-band will not be affected, while the X-band will be influenced slightly.
topic Geosynchronous SAR
troposphere
turbulence
phase screen theory
url https://www.mdpi.com/2072-4292/11/7/803
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