@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",
}