@inproceedings{4bf3147430f94f8dad458df9bcbbc4cc,
title = "An FPGA-accelerated doppler parameters estimation engine for real-time synthetic aperture radar imaging system",
abstract = "In this paper, we demonstrate an achievable implementation of Doppler parameters estimation engine. Taking advantage of FPGA, a highly parallelized and reconfigurable structure with a unified calculation is adopted. We build a prototype using single off-the-shelf Xilinx XC6VSX315T FPGA to verify the proposed method in a 16384 × 16384 SAR imaging process. The experiment result can achieve more than 20x time speedups over CPU-based solution, and the FPGA hardware resources can be balanced.",
keywords = "Doppler parameter, FPGA accelerator, SAR",
author = "Bingyi Li and Ying Wang and Linlin Fang and Chen He and Yizhuang Xie and Liang Chen",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th International Conference on Information Science and Control Engineering, ICISCE 2017 ; Conference date: 21-07-2017 Through 23-07-2017",
year = "2017",
month = nov,
day = "14",
doi = "10.1109/ICISCE.2017.45",
language = "English",
series = "Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "169--171",
editor = "Ying Dai and Shaozi Li and Yun Cheng",
booktitle = "Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017",
address = "United States",
}