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

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages	824-827
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554805
Publication status	Published - 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21

Keywords

Synthetic aperture radar (SAR)
generalized radon-Fourier transform (GRFT)
parameter estimation
radar imaging

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10.1109/IGARSS47720.2021.9554805

Cite this

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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",

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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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EP - 827

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

Abstract

Conference

Keywords

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