연구실적 · 국외전문학술지
FPGA-Based Acceleration of Polar-Format Algorithm for Video Synthetic-Aperture Radar Imaging
초록
This paper presents a polar-format algorithm (PFA)-based synthetic-aperture radar (SAR) processor that can be mounted on a small drone to support video SAR (ViSAR) imaging. For drone mounting, it requires miniaturization, low power consumption, and high-speed performance. Therefore, to meet these requirements, the processor design was based on a field-programmable gate array (FPGA), and the implementation results are presented. The proposed PFA-based SAR processor consists of both an interpolation unit and a fast Fourier transform (FFT) unit. The interpolation unit uses linear interpolation for high speed while occupying a small space. In addition, the memory transfer is minimized through optimized operations using SAR system parameters. The FFT unit uses a base-4 systolic array architecture, chosen from among various fast parallel structures, to maximize the processing speed. Each unit is designed as a reusable block (IP core) to support reconfigurability and is interconnected using the advanced extensible interface (AXI) bus. The proposed PFA-based SAR processor was designed using Verilog-HDL and implemented on a Xilinx UltraScale+ MPSoC FPGA platform. It generates an image 2048 × 2048 pixels in size within 0.766 s, which is 44.862 times faster than that achieved by the ARM Cortex-A53 microprocessor. The speed-to-area ratio normalized by the number of resources shows that it achieves a higher speed at lower power consumption than previous studies.
사이트 원문 표기
Dongmin Jeong, Myeongjin Lee, Wookyung Lee (이우경), Yunho Jung, “FPGA-Based Acceleration of Polar-Format Algorithm for Video Synthetic-Aperture Radar Imaging”, Electronics, vol. 13, no. 12, pp. 2401, 2024
BibTeX
@article{Jeong_2024,
title={FPGA-Based Acceleration of Polar-Format Algorithm for Video Synthetic-Aperture Radar Imaging},
volume={13},
ISSN={2079-9292},
url={http://dx.doi.org/10.3390/electronics13122401},
DOI={10.3390/electronics13122401},
number={12},
journal={Electronics},
publisher={MDPI AG},
author={Jeong, Dongmin and Lee, Myeongjin and Lee, Wookyung and Jung, Yunho},
year={2024},
month=June,
pages={2401}
}