Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 44-49 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9783800762873 |
| Publikationsstatus | Veröffentlicht - 2024 |
| Veranstaltung | 15th European Conference on Synthetic Aperture Radar, EUSAR 2024 - Munich, Deutschland Dauer: 23 Apr. 2024 → 26 Apr. 2024 |
Publikationsreihe
| Name | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR |
|---|---|
| ISSN (Print) | 2197-4403 |
Abstract
Synthetic Aperture Radar on board of small UAVs (“drones”) could enable a new field of applications. Due to their unstable flight path, autofocus processing is often required to generate usable images in this context. To enable real-time on-board processing high performance and energy-efficient hardware is required. This paper reports on an FPGA implementation of the Backprojection Autofocus algorithm using a specialized numeric optimization method called Parallel Autofocus Optimization. The hardware design is analyzed for throughput and power consumption. Results show that autofocus processing requires 36.5× the time and 24.7× the energy on our implementation, compared to Backprojection processing alone.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Physik und Astronomie (insg.)
- Instrumentierung
Zitieren
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- Harvard
- Apa
- Vancouver
- BibTex
- RIS
EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar. Institute of Electrical and Electronics Engineers Inc., 2024. S. 44-49 (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - An Optimized FPGA Implementation of SAR Backprojection Autofocus
AU - Rother, Niklas
AU - Fahnemann, Christian
AU - Blume, Holger
N1 - Publisher Copyright: © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.
PY - 2024
Y1 - 2024
N2 - Synthetic Aperture Radar on board of small UAVs (“drones”) could enable a new field of applications. Due to their unstable flight path, autofocus processing is often required to generate usable images in this context. To enable real-time on-board processing high performance and energy-efficient hardware is required. This paper reports on an FPGA implementation of the Backprojection Autofocus algorithm using a specialized numeric optimization method called Parallel Autofocus Optimization. The hardware design is analyzed for throughput and power consumption. Results show that autofocus processing requires 36.5× the time and 24.7× the energy on our implementation, compared to Backprojection processing alone.
AB - Synthetic Aperture Radar on board of small UAVs (“drones”) could enable a new field of applications. Due to their unstable flight path, autofocus processing is often required to generate usable images in this context. To enable real-time on-board processing high performance and energy-efficient hardware is required. This paper reports on an FPGA implementation of the Backprojection Autofocus algorithm using a specialized numeric optimization method called Parallel Autofocus Optimization. The hardware design is analyzed for throughput and power consumption. Results show that autofocus processing requires 36.5× the time and 24.7× the energy on our implementation, compared to Backprojection processing alone.
UR - http://www.scopus.com/inward/record.url?scp=85193943732&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85193943732
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 44
EP - 49
BT - EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th European Conference on Synthetic Aperture Radar, EUSAR 2024
Y2 - 23 April 2024 through 26 April 2024
ER -