A simulator for spotlight SAR image formation

Balster, Eric J.; Scarpino, Frank A.; Kordik, Andrew M.; Hill, Kerry L.

doi:10.1109/ccwc.2017.7868340

Cited by 7 publications

(6 citation statements)

References 5 publications

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“…All BP designs are tested with synthetic phase history data obtained from the SAR simulator [26] for 512×512 sized images and real SAR data obtained from the GOTCHA dataset [39]. Then, resource utilization of each kernel design is obtained from the ACL Quartus Report and the back projected output image quality is evaluated by computing the peak signal to noise ratio (PSNR) of the output image.…”

Section: Resultsmentioning

confidence: 99%

“…This section describes a brief overview of the SAR image processing modules introduced in the spotlight SAR simulator [26]. The spotlight SAR simulator is used to generate a synthetic phase history (echoed data) for digital images.…”

Section: Spotlight Sar Modelmentioning

confidence: 99%

“…All images shown in Figure 5 are processed with the SAR simulator [26] to create synthetic phase history for each image. Then the synthetic phase history data is given as an input to the BP modules to generate the back projected image output.…”

Section: Back Projected Image Quality Comparisonmentioning

confidence: 99%

“…In [25], a new method for BP algorithm acceleration using fixed-point arithmetic is described. The method is developed by modifying the BP algorithm described in [26]. Also, the BP algorithm is designed with floating-point arithmetic and fixed-point arithmetic.…”

Section: Introductionmentioning

confidence: 99%

“…Compared to FlBP designs, the FxBP-NDR and FxBP-SWI save 37.47% and 44.06% resources on ALUTs, 16.76% and 23.83% resources on Registers, and 16.87% and 42.54% resources on Logic Utilization, respectively. All designs are tested with synthetic video phase history data (VPH) generated from [26] and real phase history data from the GOTCHA dataset [39]. Back projected image quality is calculated using Peak signal-to-noise ratio (PSNR), and it shows that FxBP designs manage to preserve image quality while using fewer resources compared to FlBP designs.…”

Section: This Paper Introduces a New Fixed-point Based Backmentioning

confidence: 99%

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Fixed Point Processing of the SAR Back Projection Algorithm on FPGA

Hettiarachchi¹,

Balster²

2021

Preprint

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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 paper 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 N-Dimensional Range (NDR) structure and Single Work Item (SWI) structure using OpenCL. The FPGA performance is evaluated using a FPGA performance metric (FPM). 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.

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Section: Resultsmentioning

confidence: 99%

Section: Spotlight Sar Modelmentioning

confidence: 99%

Section: Back Projected Image Quality Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: This Paper Introduces a New Fixed-point Based Backmentioning

confidence: 99%

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Fixed Point Processing of the SAR Back Projection Algorithm on FPGA

Hettiarachchi¹,

Balster²

2021

Preprint

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Digital spotlighting parameter evaluation for SAR imaging

Balster

Mundy

Kordik

et al. 2017

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)

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Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA

Hettiarachchi¹,

Balster²

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

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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 paper 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 N-Dimensional Range (NDR) structure and Single Work Item (SWI) structure using OpenCL. The FPGA performance is evaluated using a FPGA performance metric (FPM). 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.

show abstract

A simulator for spotlight SAR image formation

Cited by 7 publications

References 5 publications

Fixed Point Processing of the SAR Back Projection Algorithm on FPGA

Fixed Point Processing of the SAR Back Projection Algorithm on FPGA

Digital spotlighting parameter evaluation for SAR imaging

Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA

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