Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model

Zi Yuan Song; Pucheng Li; Guanxing Wang; Jianping Wang; Kunze He; Zehua Dong

doi:10.1109/ICSIDP62679.2024.10869069

Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model

Zi Yuan Song, Pucheng Li^*, Guanxing Wang, Jianping Wang, Kunze He, Zehua Dong

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

Abstract

When the radar observation angle is sparse and the target is stationary, it is difficult to image by traditional methods. Therefore, we propose a dual-angle radar image reconstruction method to achieve dual-angle radar imaging. Firstly, the scattering centers estimation strategy based on GTD model is used and solved by ADMM to obtain the target scattering center information. Then the scattering center, distance and coefficient information are used to score and match the strong scattering points of the two HRRPs. Finally, the image is reconstructed by tracing the points. The effectiveness of the proposed algorithm is verified by simulation.

Original language	English
Title of host publication	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331515669
DOIs	https://doi.org/10.1109/ICSIDP62679.2024.10869069
Publication status	Published - 2024
Event	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China Duration: 22 Nov 2024 → 24 Nov 2024

Publication series

Name	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/Territory	China
City	Zhuhai
Period	22/11/24 → 24/11/24

Keywords

Dual-Angel
Model parameter estimation
Radar imaging

Access to Document

10.1109/ICSIDP62679.2024.10869069

Cite this

Song, Z. Y., Li, P., Wang, G., Wang, J., He, K., & Dong, Z. (2024). Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP62679.2024.10869069

Song, Zi Yuan ; Li, Pucheng ; Wang, Guanxing et al. / Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

@inproceedings{994d37d8776d409d85d1241b3e58e22a,

title = "Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model",

abstract = "When the radar observation angle is sparse and the target is stationary, it is difficult to image by traditional methods. Therefore, we propose a dual-angle radar image reconstruction method to achieve dual-angle radar imaging. Firstly, the scattering centers estimation strategy based on GTD model is used and solved by ADMM to obtain the target scattering center information. Then the scattering center, distance and coefficient information are used to score and match the strong scattering points of the two HRRPs. Finally, the image is reconstructed by tracing the points. The effectiveness of the proposed algorithm is verified by simulation.",

keywords = "Dual-Angel, Model parameter estimation, Radar imaging",

author = "Song, {Zi Yuan} and Pucheng Li and Guanxing Wang and Jianping Wang and Kunze He and Zehua Dong",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 ; Conference date: 22-11-2024 Through 24-11-2024",

year = "2024",

doi = "10.1109/ICSIDP62679.2024.10869069",

language = "English",

series = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",

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

booktitle = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",

address = "United States",

}

Song, ZY, Li, P, Wang, G, Wang, J, He, K & Dong, Z 2024, Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model. in IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Zhuhai, China, 22/11/24. https://doi.org/10.1109/ICSIDP62679.2024.10869069

Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model. / Song, Zi Yuan; Li, Pucheng; Wang, Guanxing et al.
IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

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

TY - GEN

T1 - Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model

AU - Song, Zi Yuan

AU - Li, Pucheng

AU - Wang, Guanxing

AU - Wang, Jianping

AU - He, Kunze

AU - Dong, Zehua

PY - 2024

Y1 - 2024

N2 - When the radar observation angle is sparse and the target is stationary, it is difficult to image by traditional methods. Therefore, we propose a dual-angle radar image reconstruction method to achieve dual-angle radar imaging. Firstly, the scattering centers estimation strategy based on GTD model is used and solved by ADMM to obtain the target scattering center information. Then the scattering center, distance and coefficient information are used to score and match the strong scattering points of the two HRRPs. Finally, the image is reconstructed by tracing the points. The effectiveness of the proposed algorithm is verified by simulation.

AB - When the radar observation angle is sparse and the target is stationary, it is difficult to image by traditional methods. Therefore, we propose a dual-angle radar image reconstruction method to achieve dual-angle radar imaging. Firstly, the scattering centers estimation strategy based on GTD model is used and solved by ADMM to obtain the target scattering center information. Then the scattering center, distance and coefficient information are used to score and match the strong scattering points of the two HRRPs. Finally, the image is reconstructed by tracing the points. The effectiveness of the proposed algorithm is verified by simulation.

KW - Dual-Angel

KW - Model parameter estimation

KW - Radar imaging

UR - http://www.scopus.com/inward/record.url?scp=86000032799&partnerID=8YFLogxK

U2 - 10.1109/ICSIDP62679.2024.10869069

DO - 10.1109/ICSIDP62679.2024.10869069

M3 - Conference contribution

AN - SCOPUS:86000032799

T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Y2 - 22 November 2024 through 24 November 2024

ER -

Song ZY, Li P, Wang G, Wang J, He K, Dong Z. Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). doi: 10.1109/ICSIDP62679.2024.10869069

Dual-Angle Radar Image Reconstruction With Geometrical Theory of Diffraction Model

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