Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA
Time-domain back-projection (BP) is a widely known method used in synthetic aperture radar (SAR) image formation. Despite its advantages over other image formation algorithms, the BP method is hindered due to its computational complexity and its requirement of higher number of operations and process...
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oai:doaj.org-article:828f0358407f4b58a933895add09f8172021-11-18T00:00:28ZFixed-Point Processing of the SAR Back-Projection Algorithm on FPGA2151-153510.1109/JSTARS.2021.3119007https://doaj.org/article/828f0358407f4b58a933895add09f8172021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9566797/https://doaj.org/toc/2151-1535Time-domain back-projection (BP) is a widely known method used in synthetic aperture radar (SAR) image formation. Despite its advantages over other image formation algorithms, the BP method is hindered due to its computational complexity and its requirement of higher number of operations and processing power. Recently, field-programmable gate array (FPGA) devices have been used for BP acceleration mainly due to their parallel processing capabilities, reconfigurability, scalability, and low power requirement. This article presents a new fixed-point based BP (FxBP) design for FPGA devices and a floating-point-based BP (FlBP) design to compare performance. Both designs are developed with <italic>N</italic>-dimensional range (NDR) structure and single-work item (SWI) structure using OpenCL. The FPGA performance is evaluated using an FPGA performance metric. It is shown that FxBP-NDR and FxBP-SWI designs generate high-quality back-projected images compared to FlBP designs, while saving 16.87% and 42.54% on logic resources and gaining 17.90% and 91.62% on FPGA performance in NDR and SWI, respectively. Obtained results clearly indicate that FPGA devices perform significantly better with FxBP designs compared to FlBP designs, even with hardened FPUs.Don Lahiru Nirmal HettiarachchiEric J. BalsterIEEEarticleBack-projectionfield-programmable gate array (FPGA)hardware accelerationhigh-level synthesis (HLS)Intel Stratix 10OpenCLOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10889-10902 (2021) |
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Back-projection field-programmable gate array (FPGA) hardware acceleration high-level synthesis (HLS) Intel Stratix 10 OpenCL Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
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Back-projection field-programmable gate array (FPGA) hardware acceleration high-level synthesis (HLS) Intel Stratix 10 OpenCL Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Don Lahiru Nirmal Hettiarachchi Eric J. Balster Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA |
description |
Time-domain back-projection (BP) is a widely known method used in synthetic aperture radar (SAR) image formation. Despite its advantages over other image formation algorithms, the BP method is hindered due to its computational complexity and its requirement of higher number of operations and processing power. Recently, field-programmable gate array (FPGA) devices have been used for BP acceleration mainly due to their parallel processing capabilities, reconfigurability, scalability, and low power requirement. This article presents a new fixed-point based BP (FxBP) design for FPGA devices and a floating-point-based BP (FlBP) design to compare performance. Both designs are developed with <italic>N</italic>-dimensional range (NDR) structure and single-work item (SWI) structure using OpenCL. The FPGA performance is evaluated using an FPGA performance metric. It is shown that FxBP-NDR and FxBP-SWI designs generate high-quality back-projected images compared to FlBP designs, while saving 16.87% and 42.54% on logic resources and gaining 17.90% and 91.62% on FPGA performance in NDR and SWI, respectively. Obtained results clearly indicate that FPGA devices perform significantly better with FxBP designs compared to FlBP designs, even with hardened FPUs. |
format |
article |
author |
Don Lahiru Nirmal Hettiarachchi Eric J. Balster |
author_facet |
Don Lahiru Nirmal Hettiarachchi Eric J. Balster |
author_sort |
Don Lahiru Nirmal Hettiarachchi |
title |
Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA |
title_short |
Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA |
title_full |
Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA |
title_fullStr |
Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA |
title_full_unstemmed |
Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA |
title_sort |
fixed-point processing of the sar back-projection algorithm on fpga |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/828f0358407f4b58a933895add09f817 |
work_keys_str_mv |
AT donlahirunirmalhettiarachchi fixedpointprocessingofthesarbackprojectionalgorithmonfpga AT ericjbalster fixedpointprocessingofthesarbackprojectionalgorithmonfpga |
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1718425234311217152 |