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Resource-Constrained Optimizations For Synthetic Aperture Radar On-Board Image Processing

Schlemon, Maron and Scheiber, Rolf and Schulz, Martin (2022) Resource-Constrained Optimizations For Synthetic Aperture Radar On-Board Image Processing. In: 2022 IEEE High Performance Extreme Computing Conference, HPEC 2022. IEEE. IEEE High Performance Extreme Computing Conference (HPEC), 2022-09-19 - 2022-09-23, Waltham, MA, USA. doi: 10.1109/HPEC55821.2022.9926327. ISBN 978-166549786-2.

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Official URL: https://ieeexplore.ieee.org/document/9926327


Synthetic Aperture Radar (SAR) can be used to create realistic and high-resolution 2D or 3D reconstructions of landscapes. The data capture is typically deployed using radar instruments in specially equipped, low flying planes, resulting in a large amount of raw data, which needs to be processed for image reconstruction. However, due to limited on-board processing capacities on the plane (power, size, weight, cooling, communication bandwidth to ground stations, etc.) and the need to capture many images during a single flight, the raw data must be processed on-board and then sent to the ground station efficiently as image products. In this paper we describe the processing architecture of the digital beamforming SAR (DBFSAR) of the German Areaospace Center (DLR) and the special steps that had to be taken to enable the on-board processing. We explain the required software optimizations and under which conditions their integration in the SAR imaging process leads to (near) real-time capability. We further describe the lessons learned in our work and discuss how they can be applied to other processing scenarios with limited resource availability.

Item URL in elib:https://elib.dlr.de/191673/
Document Type:Conference or Workshop Item (Speech)
Title:Resource-Constrained Optimizations For Synthetic Aperture Radar On-Board Image Processing
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Scheiber, RolfUNSPECIFIEDhttps://orcid.org/0000-0002-6833-4897UNSPECIFIED
Date:September 2022
Journal or Publication Title:2022 IEEE High Performance Extreme Computing Conference, HPEC 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Synthetic Aperture Radar, High Performance Algorithms, Resource Constrained Processing, On-Board Radar Processing;
Event Title:IEEE High Performance Extreme Computing Conference (HPEC)
Event Location:Waltham, MA, USA
Event Type:international Conference
Event Dates:2022-09-19 - 2022-09-23
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Aircraft SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: Schlemon, Maron
Deposited On:05 Dec 2022 13:24
Last Modified:04 Jan 2023 08:56

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