AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM

Yongpeng Gao; Zegang Ding; Tianyi Zhang; Shouye Lv; Yingying Li

doi:10.1109/IGARSS47720.2021.9554805

AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM

Yongpeng Gao, Zegang Ding, Tianyi Zhang^*, Shouye Lv, Yingying Li

^*此作品的通讯作者

信息与电子学院

科研成果: 会议稿件 › 论文 › 同行评审

3 引用（Scopus）

摘要

Traditional synthetic aperture radar (SAR) moving target imaging algorithms usually deal with the enlovpe and phase of the signal seperately, which is under a high signal-to-noise ratio (SNR) condition. In this paper, an improved imaging method for moving targets based on GRFT under low SNR is proposed, and the Doppler ambiguity and motion parameter estimation can be solved simultaneously. Computer simulations are conducted to validate the effectiveness of the proposed method.

源语言	英语
页	824-827
页数	4
DOI	https://doi.org/10.1109/IGARSS47720.2021.9554805
出版状态	已出版 - 2021
活动	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, 比利时期限: 12 7月 2021 → 16 7月 2021

会议

会议	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
国家/地区	比利时
市	Brussels
时期	12/07/21 → 16/07/21

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10.1109/IGARSS47720.2021.9554805

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引用此

Gao, Y., Ding, Z., Zhang, T., Lv, S., & Li, Y. (2021). AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM. 824-827. 论文发表于 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, 比利时. https://doi.org/10.1109/IGARSS47720.2021.9554805

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title = "AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM",

abstract = "Traditional synthetic aperture radar (SAR) moving target imaging algorithms usually deal with the enlovpe and phase of the signal seperately, which is under a high signal-to-noise ratio (SNR) condition. In this paper, an improved imaging method for moving targets based on GRFT under low SNR is proposed, and the Doppler ambiguity and motion parameter estimation can be solved simultaneously. Computer simulations are conducted to validate the effectiveness of the proposed method.",

keywords = "Synthetic aperture radar (SAR), generalized radon-Fourier transform (GRFT), parameter estimation, radar imaging",

author = "Yongpeng Gao and Zegang Ding and Tianyi Zhang and Shouye Lv and Yingying Li",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554805",

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AU - Gao, Yongpeng

AU - Ding, Zegang

AU - Zhang, Tianyi

AU - Lv, Shouye

AU - Li, Yingying

PY - 2021

Y1 - 2021

N2 - Traditional synthetic aperture radar (SAR) moving target imaging algorithms usually deal with the enlovpe and phase of the signal seperately, which is under a high signal-to-noise ratio (SNR) condition. In this paper, an improved imaging method for moving targets based on GRFT under low SNR is proposed, and the Doppler ambiguity and motion parameter estimation can be solved simultaneously. Computer simulations are conducted to validate the effectiveness of the proposed method.

AB - Traditional synthetic aperture radar (SAR) moving target imaging algorithms usually deal with the enlovpe and phase of the signal seperately, which is under a high signal-to-noise ratio (SNR) condition. In this paper, an improved imaging method for moving targets based on GRFT under low SNR is proposed, and the Doppler ambiguity and motion parameter estimation can be solved simultaneously. Computer simulations are conducted to validate the effectiveness of the proposed method.

KW - Synthetic aperture radar (SAR)

KW - generalized radon-Fourier transform (GRFT)

KW - parameter estimation

KW - radar imaging

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DO - 10.1109/IGARSS47720.2021.9554805

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T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM

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