Synthetic aperture radar with fast factorized backprojection: a scalable, platform independent architecture for exhaustive FPGA resource utilization

Cholewa, Fabian; Wielage, M.; Pirsch, P.; Blume, Holger

doi:10.1049/cp.2017.0494

Cited by 6 publications

(6 citation statements)

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“…Such a reconstruction could take hours using a standard workstation [UHS03]. Nevertheless, this algorithm can be parallelized using, for example, a field programmable gate array (FPGA) [Cho+17]. We discuss in Chap.…”

Section: Synthetic Aperture Radarmentioning

confidence: 99%

“…The main disadvantage of the GBP is its high computational costs of O(N 3 ), where N measured range profiles are projected onto an image with N×N pixels. One way to reduce computational time is to reconstruct only a relatively small image or to parallelize the computations using, for example, a field programmable gate array (FPGA) [Cho+17]. In Chap.…”

Section: Global Backprojectionmentioning

confidence: 99%

“…3.5. In order to reach real-time capability and to get the theoretical speed-up in practice, specific hardware like a field programmable gate array (FPGA) can be used [Cho+17]. In such a case, the values at unit powers of two are preferred in hardware implementations [Wie19].…”

Section: Narrow Swath Sar Using Gotcha Datamentioning

confidence: 99%

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Backprojection Autofocus of Large Ships with Arbitrary Motion for Synthetic Aperture Radar

Sommer¹

2020

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Radar images of the open sea taken by airborne synthetic aperture radar (SAR) show typically several smeared ships. Due to their non-linear motions on a rough sea, these ships are smeared beyond recognition, such that their images are useless for classification or identification tasks. The ship imaging algorithm presented in this thesis consists of a fast image reconstruction using the fast factorized backprojection algorithm and an extended autofocus algorithm of large moving ships. This thesis analysis the factorization parameters of the fast factorized backprojection algorithm and describes how to choose them nearoptimally in order to reconstruct SAR images with minimal computational costs and without any loss of quality. Furthermore, this thesis shows how to estimate and compensate for the translation, the rotation and the deformation of a large arbitrarily moving ship in order to reconstruct a sharp image of the ship. The proposed autofocus technique generates images in which the ...

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Section: Synthetic Aperture Radarmentioning

confidence: 99%

Section: Global Backprojectionmentioning

confidence: 99%

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Backprojection Autofocus of Large Ships with Arbitrary Motion for Synthetic Aperture Radar

Sommer¹

2020

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“…Even though most of the accelerated BP algorithms are modified from the traditional BP algorithm, few methods use hardware acceleration from devices like General Purpose Graphics Processing Unit (GPGPU) [31]- [34] and Field Programmable Gate Arrays (FPGA) [35], [36]. Since the BP algorithm is highly parallelizable, accelerators can execute multiple operations simultaneously to reduce the processing time significantly.…”

Section: Yegulalp Et Al Introduces a Fast Back Projection (Fbp)mentioning

confidence: 99%

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

Hettiarachchi¹,

Balster²

2021

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

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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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“…Even though most of the accelerated BP algorithms are modified from the traditional BP algorithm, few methods use hardware acceleration from devices like General Purpose Graphics Processing Unit (GPGPU) [27]- [30] and Field Programmable Gate Arrays (FPGA) [31], [32]. Since the BP algorithm is highly parallelizable, accelerators can execute multiple operations simultaneously to reduce the processing time significantly.…”

Section: Introductionmentioning

confidence: 99%

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.

show abstract

Synthetic aperture radar with fast factorized backprojection: a scalable, platform independent architecture for exhaustive FPGA resource utilization

Cited by 6 publications

References 0 publications

Backprojection Autofocus of Large Ships with Arbitrary Motion for Synthetic Aperture Radar

Backprojection Autofocus of Large Ships with Arbitrary Motion for Synthetic Aperture Radar

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

Fixed Point Processing of the SAR Back Projection Algorithm on FPGA

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