Version 1
: Received: 4 November 2024 / Approved: 5 November 2024 / Online: 5 November 2024 (08:35:28 CET)
How to cite:
Tang, L.; Wang, Y.; Qu, J.; Wang, X.; Ding, M.; Liang, J. A W-Band Real-Time Imaging Mini-SAR System for Unmanned Aerial Vehicles. Preprints2024, 2024110271. https://doi.org/10.20944/preprints202411.0271.v1
Tang, L.; Wang, Y.; Qu, J.; Wang, X.; Ding, M.; Liang, J. A W-Band Real-Time Imaging Mini-SAR System for Unmanned Aerial Vehicles. Preprints 2024, 2024110271. https://doi.org/10.20944/preprints202411.0271.v1
Tang, L.; Wang, Y.; Qu, J.; Wang, X.; Ding, M.; Liang, J. A W-Band Real-Time Imaging Mini-SAR System for Unmanned Aerial Vehicles. Preprints2024, 2024110271. https://doi.org/10.20944/preprints202411.0271.v1
APA Style
Tang, L., Wang, Y., Qu, J., Wang, X., Ding, M., & Liang, J. (2024). A W-Band Real-Time Imaging Mini-SAR System for Unmanned Aerial Vehicles. Preprints. https://doi.org/10.20944/preprints202411.0271.v1
Chicago/Turabian Style
Tang, L., Manlai Ding and Junli Liang. 2024 "A W-Band Real-Time Imaging Mini-SAR System for Unmanned Aerial Vehicles" Preprints. https://doi.org/10.20944/preprints202411.0271.v1
Abstract
The synthetic aperture radar (SAR) mounted on unmanned aerial vehicles (UAVs) can efficiently and rapidly acquire high-resolution geographic remote sensing data. However, the limited payload capacity and power consumption of UAVs present a challenge for the application of traditional SAR real-time imaging processing platforms based on DSP or GPU. In this paper, a real-time processor that utilizes the Xilinx Zynq Ultrascale+ZU9EG MPSoC is proposed and successfully applied to a W-band Mini-SAR system. Several essential technologies, including SAR data preprocessing, high-energy-efficient real-time processing, and lightweight motion compensation, are utilized to develop the real-time processing Mini-SAR for use in small UAVs. The total weight of the entire system is only 724 grams, and its power consumption is 38.3 watts. During the UAV flight test, the system is capable of producing SAR images with a resolution of 0.1 meters at a size of 4K x 4K in just 4.5 seconds. The discrepancy between the imaging results and the ground post-processing is less than 10-4.
Keywords
Mini-SAR; Real-Time Processing; Zynq; Data Preprocessing; UAV
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
