Cargando…

Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems

The use of satellite synthetic aperture radar (SAR) for moving target imaging has gained popularity recently. Researchers are focused on improving its imaging quality. To achieve high-quality and fast imaging, we have developed a dual-mode refocusing algorithm. We optimized the algorithm’s target sp...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Le, Li, Yaqi, Wu, Nansong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964411/
https://www.ncbi.nlm.nih.gov/pubmed/36850741
http://dx.doi.org/10.3390/s23042143
_version_ 1784896498699337728
author Yu, Le
Li, Yaqi
Wu, Nansong
author_facet Yu, Le
Li, Yaqi
Wu, Nansong
author_sort Yu, Le
collection PubMed
description The use of satellite synthetic aperture radar (SAR) for moving target imaging has gained popularity recently. Researchers are focused on improving its imaging quality. To achieve high-quality and fast imaging, we have developed a dual-mode refocusing algorithm. We optimized the algorithm’s target speed estimation and carried out data enhancement and quantization design for SAR image refocusing. The design is implemented on a Xilinx XC5VFX130T FPGA. The dual-mode image data are based on a slice size of 512 × 512 for slice mode and 256 × 256 for scan mode in a time-series function simulation. The serial–parallel conversion and pipeline design balances the operating speed and logic resources for optimal performance. Experiment results on slice data of real SAR images show that the system’s processing speed can reach two frames per second, utilizing 69633 LUTs, 255 RAMs, and 296 DSPs.
format Online
Article
Text
id pubmed-9964411
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99644112023-02-26 Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems Yu, Le Li, Yaqi Wu, Nansong Sensors (Basel) Article The use of satellite synthetic aperture radar (SAR) for moving target imaging has gained popularity recently. Researchers are focused on improving its imaging quality. To achieve high-quality and fast imaging, we have developed a dual-mode refocusing algorithm. We optimized the algorithm’s target speed estimation and carried out data enhancement and quantization design for SAR image refocusing. The design is implemented on a Xilinx XC5VFX130T FPGA. The dual-mode image data are based on a slice size of 512 × 512 for slice mode and 256 × 256 for scan mode in a time-series function simulation. The serial–parallel conversion and pipeline design balances the operating speed and logic resources for optimal performance. Experiment results on slice data of real SAR images show that the system’s processing speed can reach two frames per second, utilizing 69633 LUTs, 255 RAMs, and 296 DSPs. MDPI 2023-02-14 /pmc/articles/PMC9964411/ /pubmed/36850741 http://dx.doi.org/10.3390/s23042143 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Le
Li, Yaqi
Wu, Nansong
Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems
title Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems
title_full Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems
title_fullStr Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems
title_full_unstemmed Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems
title_short Hardware Accelerated Design of a Dual-Mode Refocusing Algorithm for SAR Imaging Systems
title_sort hardware accelerated design of a dual-mode refocusing algorithm for sar imaging systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964411/
https://www.ncbi.nlm.nih.gov/pubmed/36850741
http://dx.doi.org/10.3390/s23042143
work_keys_str_mv AT yule hardwareaccelerateddesignofadualmoderefocusingalgorithmforsarimagingsystems
AT liyaqi hardwareaccelerateddesignofadualmoderefocusingalgorithmforsarimagingsystems
AT wunansong hardwareaccelerateddesignofadualmoderefocusingalgorithmforsarimagingsystems