Bistatic SAR Imaging Based on Compressive Sensing Approach

Yong Wang; Hongyuan Zhang; Jing Zhou

doi:10.1007/978-981-13-6504-1_95

Bistatic SAR Imaging Based on Compressive Sensing Approach

Yong Wang^*
, Hongyuan Zhang
, Jing Zhou

^*Corresponding author for this work

School of Electronics and Information Engineering

Beijing Institute of Astronautical System Engineering
Harbin Institute of Technology

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

Abstract

The compressive sensing (CS) technique has been introduced to the field of synthetic aperture radar (SAR) imaging procedure to reduce the amount of measurements. In this letter, a novel algorithm for bistatic SAR imaging based on the CS technique is proposed. The range profile is reconstructed by the Fourier transform, and the azimuth processing is implemented by the CS method consequently. The proposed algorithm can realize the high-quality imaging with limited measurements efficiently for the missing bistatic SAR radar echoes. Results of simulated data demonstrate the validity of the novel approach.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II
Subtitle of host publication	Signal Processing
Editors	Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
Publisher	Springer Verlag
Pages	789-795
Number of pages	7
ISBN (Print)	9789811365034
DOIs	https://doi.org/10.1007/978-981-13-6504-1_95
State	Published - 2020
Event	International Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China Duration: 14 Jul 2018 → 16 Jul 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	516
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/Territory	China
City	Dalian
Period	14/07/18 → 16/07/18

Keywords

Bistatic SAR
CS technique
Limited measurements

Access to Document

10.1007/978-981-13-6504-1_95

Cite this

Wang, Y., Zhang, H., & Zhou, J. (2020). Bistatic SAR Imaging Based on Compressive Sensing Approach. In Q. Liang, X. Liu, Z. Na, W. Wang, J. Mu, & B. Zhang (Eds.), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing (pp. 789-795). (Lecture Notes in Electrical Engineering; Vol. 516). Springer Verlag. https://doi.org/10.1007/978-981-13-6504-1_95

Wang, Yong ; Zhang, Hongyuan ; Zhou, Jing. / Bistatic SAR Imaging Based on Compressive Sensing Approach. Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. editor / Qilian Liang ; Xin Liu ; Zhenyu Na ; Wei Wang ; Jiasong Mu ; Baoju Zhang. Springer Verlag, 2020. pp. 789-795 (Lecture Notes in Electrical Engineering).

@inproceedings{3f32cfd4f3cb4e1c9ce3c6913117fc2e,

title = "Bistatic SAR Imaging Based on Compressive Sensing Approach",

abstract = "The compressive sensing (CS) technique has been introduced to the field of synthetic aperture radar (SAR) imaging procedure to reduce the amount of measurements. In this letter, a novel algorithm for bistatic SAR imaging based on the CS technique is proposed. The range profile is reconstructed by the Fourier transform, and the azimuth processing is implemented by the CS method consequently. The proposed algorithm can realize the high-quality imaging with limited measurements efficiently for the missing bistatic SAR radar echoes. Results of simulated data demonstrate the validity of the novel approach.",

keywords = "Bistatic SAR, CS technique, Limited measurements",

author = "Yong Wang and Hongyuan Zhang and Jing Zhou",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",

year = "2020",

doi = "10.1007/978-981-13-6504-1\_95",

language = "英语",

isbn = "9789811365034",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "789--795",

editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II",

address = "德国",

}

Wang, Y, Zhang, H & Zhou, J 2020, Bistatic SAR Imaging Based on Compressive Sensing Approach. in Q Liang, X Liu, Z Na, W Wang, J Mu & B Zhang (eds), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. Lecture Notes in Electrical Engineering, vol. 516, Springer Verlag, pp. 789-795, International Conference on Communications, Signal Processing, and Systems, CSPS 2018, Dalian, China, 14/07/18. https://doi.org/10.1007/978-981-13-6504-1_95

Bistatic SAR Imaging Based on Compressive Sensing Approach. / Wang, Yong; Zhang, Hongyuan; Zhou, Jing.
Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. ed. / Qilian Liang; Xin Liu; Zhenyu Na; Wei Wang; Jiasong Mu; Baoju Zhang. Springer Verlag, 2020. p. 789-795 (Lecture Notes in Electrical Engineering; Vol. 516).

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

TY - GEN

T1 - Bistatic SAR Imaging Based on Compressive Sensing Approach

AU - Wang, Yong

AU - Zhang, Hongyuan

AU - Zhou, Jing

PY - 2020

Y1 - 2020

N2 - The compressive sensing (CS) technique has been introduced to the field of synthetic aperture radar (SAR) imaging procedure to reduce the amount of measurements. In this letter, a novel algorithm for bistatic SAR imaging based on the CS technique is proposed. The range profile is reconstructed by the Fourier transform, and the azimuth processing is implemented by the CS method consequently. The proposed algorithm can realize the high-quality imaging with limited measurements efficiently for the missing bistatic SAR radar echoes. Results of simulated data demonstrate the validity of the novel approach.

AB - The compressive sensing (CS) technique has been introduced to the field of synthetic aperture radar (SAR) imaging procedure to reduce the amount of measurements. In this letter, a novel algorithm for bistatic SAR imaging based on the CS technique is proposed. The range profile is reconstructed by the Fourier transform, and the azimuth processing is implemented by the CS method consequently. The proposed algorithm can realize the high-quality imaging with limited measurements efficiently for the missing bistatic SAR radar echoes. Results of simulated data demonstrate the validity of the novel approach.

KW - Bistatic SAR

KW - CS technique

KW - Limited measurements

UR - https://www.scopus.com/pages/publications/85071491967

U2 - 10.1007/978-981-13-6504-1_95

DO - 10.1007/978-981-13-6504-1_95

M3 - 会议稿件

AN - SCOPUS:85071491967

SN - 9789811365034

T3 - Lecture Notes in Electrical Engineering

SP - 789

EP - 795

BT - Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II

A2 - Liang, Qilian

A2 - Liu, Xin

A2 - Na, Zhenyu

A2 - Wang, Wei

A2 - Mu, Jiasong

A2 - Zhang, Baoju

PB - Springer Verlag

T2 - International Conference on Communications, Signal Processing, and Systems, CSPS 2018

Y2 - 14 July 2018 through 16 July 2018

ER -

Bistatic SAR Imaging Based on Compressive Sensing Approach

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