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

Beijing Institute of Technology
Beijing Institute of Remote Sensing Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 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
Title of host publication	IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	824-827
Number of pages	4
ISBN (Electronic)	9781665403696
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554805
Publication status	Published - 2021
Externally published	Yes
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Online, Virtual, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

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

Keywords

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

Access to Document

10.1109/IGARSS47720.2021.9554805

Cite this

Gao, Y., Ding, Z., Zhang, T., Lv, S., & Li, Y. (2021). AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 824-827). (International Geoscience and Remote Sensing Symposium (IGARSS) ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS47720.2021.9554805

Gao, Yongpeng ; Ding, Zegang ; Zhang, Tianyi et al. / AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 824-827 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

@inproceedings{6e6e1e6f887445f89413367343635452,

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",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "824--827",

booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

address = "United States",

}

Gao, Y, Ding, Z, Zhang, T, Lv, S & Li, Y 2021, AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM. in IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS) , Institute of Electrical and Electronics Engineers Inc., pp. 824-827, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Online, Virtual, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9554805

AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM. / Gao, Yongpeng; Ding, Zegang; Zhang, Tianyi et al.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 824-827 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM

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

UR - https://www.scopus.com/pages/publications/85129821044

U2 - 10.1109/IGARSS47720.2021.9554805

DO - 10.1109/IGARSS47720.2021.9554805

M3 - Conference contribution

AN - SCOPUS:85129821044

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 824

EP - 827

BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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

Y2 - 12 July 2021 through 16 July 2021

ER -

Gao Y, Ding Z, Zhang T, Lv S, Li Y. AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 824-827. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS47720.2021.9554805

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

Abstract

Publication series

Conference

Keywords

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