Please use this identifier to cite or link to this item: http://localhost:80/handle/Hannan/505107
Title: Azimuth Motion Compensation With Improved Subaperture Algorithm for Airborne SAR Imaging
Authors: Lei Zhang;Guanyong Wang;Zhijun Qiao;Hongxian Wang
Year: 2017
Publisher: IEEE
Abstract: Conventional motion compensation (MOCO) under beam-center approximation is usually insufficient to correct severe track deviations for high-resolution synthetic aperture radar imaging. In this paper, a novel MOCO approach is developed for correction of the azimuth-variant motion errors by exploiting a precise angle-to-Doppler relationship within subapertures. The corruption from the residual motion errors to the angle-to-Doppler mapping is investigated and overcome by a compensation scheme of the scaled Fourier transform. Inheriting the high efficiency, the proposed azimuth MOCO approach has dramatically improved precision over the conventional subaperture MOCO method by reducing high side-lobe peaks of the point spread function. Extensive comparisons with other MOCO algorithms are given to show the superiority of the proposed algorithm. Moreover, real-data experiments are provided for a clear demonstration of our proposed approach.
URI: http://dl.kums.ac.ir/handle/Hannan/505107
volume: 10
issue: 1
More Information: 184,
193
Appears in Collections:2017

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Title: Azimuth Motion Compensation With Improved Subaperture Algorithm for Airborne SAR Imaging
Authors: Lei Zhang;Guanyong Wang;Zhijun Qiao;Hongxian Wang
Year: 2017
Publisher: IEEE
Abstract: Conventional motion compensation (MOCO) under beam-center approximation is usually insufficient to correct severe track deviations for high-resolution synthetic aperture radar imaging. In this paper, a novel MOCO approach is developed for correction of the azimuth-variant motion errors by exploiting a precise angle-to-Doppler relationship within subapertures. The corruption from the residual motion errors to the angle-to-Doppler mapping is investigated and overcome by a compensation scheme of the scaled Fourier transform. Inheriting the high efficiency, the proposed azimuth MOCO approach has dramatically improved precision over the conventional subaperture MOCO method by reducing high side-lobe peaks of the point spread function. Extensive comparisons with other MOCO algorithms are given to show the superiority of the proposed algorithm. Moreover, real-data experiments are provided for a clear demonstration of our proposed approach.
URI: http://dl.kums.ac.ir/handle/Hannan/505107
volume: 10
issue: 1
More Information: 184,
193
Appears in Collections:2017

Files in This Item:
File Description SizeFormat 
7503137.pdf1.45 MBAdobe PDFThumbnail
Preview File
Title: Azimuth Motion Compensation With Improved Subaperture Algorithm for Airborne SAR Imaging
Authors: Lei Zhang;Guanyong Wang;Zhijun Qiao;Hongxian Wang
Year: 2017
Publisher: IEEE
Abstract: Conventional motion compensation (MOCO) under beam-center approximation is usually insufficient to correct severe track deviations for high-resolution synthetic aperture radar imaging. In this paper, a novel MOCO approach is developed for correction of the azimuth-variant motion errors by exploiting a precise angle-to-Doppler relationship within subapertures. The corruption from the residual motion errors to the angle-to-Doppler mapping is investigated and overcome by a compensation scheme of the scaled Fourier transform. Inheriting the high efficiency, the proposed azimuth MOCO approach has dramatically improved precision over the conventional subaperture MOCO method by reducing high side-lobe peaks of the point spread function. Extensive comparisons with other MOCO algorithms are given to show the superiority of the proposed algorithm. Moreover, real-data experiments are provided for a clear demonstration of our proposed approach.
URI: http://dl.kums.ac.ir/handle/Hannan/505107
volume: 10
issue: 1
More Information: 184,
193
Appears in Collections:2017

Files in This Item:
File Description SizeFormat 
7503137.pdf1.45 MBAdobe PDFThumbnail
Preview File