In this paper, the three-dimensional (3-D) imaging problem of monostatic forward-looking synthetic aperture radar (FL-SAR) is analyzed. A 3-D guided-and-decimated backprojection (3-D GDBP) algorithm is proposed for reducing the computational complexity of 3-D FL-SAR image reconstruction. This is done by combining range and Doppler processing together with decimation along the slow-time samples and backprojection along the fast-time samples. In addition, the geometry and frequency-modulated continuous wave (FMCW) signal model for the 3-D FL-SAR problem are presented. Finally, the performance of the proposed method is tested and compared against the 3-D decimated backprojection algorithm.
Albaba, A, Bauduin, M, Sahli, H & Bourdoux, A 2023, Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging. in 2023 IEEE Radar Conference (RadarConf23). 2023 IEEE Radar Conference (RadarConf23), IEEE, IEEE Xplore, pp. 1-6, 2023 IEEE Radar Conference, San Antonio, Texas, United States, 1/05/23. https://doi.org/10.1109/radarconf2351548.2023.10149651
Albaba, A., Bauduin, M., Sahli, H., & Bourdoux, A. (2023). Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging. In 2023 IEEE Radar Conference (RadarConf23) (pp. 1-6). (2023 IEEE Radar Conference (RadarConf23)). IEEE. https://doi.org/10.1109/radarconf2351548.2023.10149651
@inproceedings{a20c12a2bfac464b8683b227f2f04ea1,
title = "Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging",
abstract = "In this paper, the three-dimensional (3-D) imaging problem of monostatic forward-looking synthetic aperture radar (FL-SAR) is analyzed. A 3-D guided-and-decimated backprojection (3-D GDBP) algorithm is proposed for reducing the computational complexity of 3-D FL-SAR image reconstruction. This is done by combining range and Doppler processing together with decimation along the slow-time samples and backprojection along the fast-time samples. In addition, the geometry and frequency-modulated continuous wave (FMCW) signal model for the 3-D FL-SAR problem are presented. Finally, the performance of the proposed method is tested and compared against the 3-D decimated backprojection algorithm.",
keywords = "Radar imaging, FL-SAR, DBS, synthetic aperture radar, angular resolution, MIMO, complexity reduction, backprojection, image reconstruction, volumetric SAR",
author = "Adnan Albaba and Marc Bauduin and Hichem Sahli and Andr{\'e} Bourdoux",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE. Copyright: Copyright 2023 Elsevier B.V., All rights reserved.; 2023 IEEE Radar Conference, RadarConf23 ; Conference date: 01-05-2023 Through 05-05-2023",
year = "2023",
month = may,
day = "1",
doi = "10.1109/radarconf2351548.2023.10149651",
language = "English",
isbn = "978-1-6654-3670-0",
series = "2023 IEEE Radar Conference (RadarConf23)",
publisher = "IEEE",
pages = "1--6",
booktitle = "2023 IEEE Radar Conference (RadarConf23)",
}