@inproceedings{6a28622816c0437eb36c9d41ef7408f0,
title = "Joint FPGA and Multi-DSP SAR Efficient Imaging System Based on WFBP Algorithm",
abstract = "The joint FPGA and multi-DSP imaging architecture has found widespread use in airborne SAR and satellite-based SAR. However, traditional back-projection (BP) algorithms are not efficient enough for real-time imaging. This paper proposes a back-projection algorithm based on wavenumber-domain spectral splicing (WFBP) for designing an efficient SAR imaging system. A unified polar coordinate system is employed in this work to project the sub-aperture imaging results, which eliminates the need for a large amount of interpolation and multiple projection transformations. Furthermore, spectral shifting is applied to eliminate the effects caused by wavenumber-domain spectral overlap. Experimental results demonstrate that the WFBP algorithm reduces the imaging time by 64\% compared to the traditional BP algorithm.",
keywords = "DSPs, Efficient signal processing system, WFBP",
author = "Sikun Lu and Yue Song and Yongwei Zhang and Zhongyu Li and Wu, \{Jun Jie\} and Yang, \{Jian Yu\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",
year = "2023",
doi = "10.1109/IGARSS52108.2023.10282500",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8110--8113",
booktitle = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
}