Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the International Radar Conference 2023 |
| ISBN (elektronisch) | 978-1-6654-8279-0 |
| Publikationsstatus | Veröffentlicht - 28 Dez. 2023 |
| Veranstaltung | International Radar Conference 2023 - Sydney, Australien Dauer: 6 Nov. 2023 → 10 Nov. 2023 https://www.radar2023.org/ |
Publikationsreihe
| Name | Proceedings of the IEEE Radar Conference |
|---|---|
| ISSN (Print) | 1097-5764 |
| ISSN (elektronisch) | 2375-5318 |
Abstract
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Physik und Astronomie (insg.)
- Instrumentierung
- Informatik (insg.)
- Computernetzwerke und -kommunikation
Ziele für nachhaltige Entwicklung
Zitieren
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- BibTex
- RIS
Proceedings of the International Radar Conference 2023. 2023. (Proceedings of the IEEE Radar Conference).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Synthetic Aperture Radar Algorithms on Transport Triggered Architecture Processors using OpenCL
AU - Rother, Niklas
AU - Mätzner, Leonard
AU - Jääskeläinen, Pekka
AU - Leppänen, Topi
AU - Schleusner, Jens Karsten
AU - Blume, Holger Christoph
N1 - Funding Information: Niklas Rother thanks T. Fiedler for his help with the ASIC synthesis. Tampere University authors thank Academy of Finland (decisions #331344 and #353199)
PY - 2023/12/28
Y1 - 2023/12/28
N2 - Live SAR imaging from small UAVs is an emerging field. On-board processing of the radar data requires high-performance and energy-efficient platforms. One candidate for this are Transport Triggered Architecture (TTA) processors. We implement Backprojection and Backprojection Autofocus on a TTA processor specially adapted for this task using OpenCL. The resulting implementation is compared to other platforms in terms of energy efficiency. We find that the TTA is on-par with embedded GPUs and surpasses other OpenCL-based platforms. It is outperformed only by a dedicated FPGA implementation.
AB - Live SAR imaging from small UAVs is an emerging field. On-board processing of the radar data requires high-performance and energy-efficient platforms. One candidate for this are Transport Triggered Architecture (TTA) processors. We implement Backprojection and Backprojection Autofocus on a TTA processor specially adapted for this task using OpenCL. The resulting implementation is compared to other platforms in terms of energy efficiency. We find that the TTA is on-par with embedded GPUs and surpasses other OpenCL-based platforms. It is outperformed only by a dedicated FPGA implementation.
KW - SAR
KW - TTA
KW - Energy-efficiency
KW - backprojection
KW - energy-efficiency
UR - http://www.scopus.com/inward/record.url?scp=85182746547&partnerID=8YFLogxK
U2 - 10.15488/15965
DO - 10.15488/15965
M3 - Conference contribution
SN - 978-1-6654-8278-3
T3 - Proceedings of the IEEE Radar Conference
BT - Proceedings of the International Radar Conference 2023
T2 - International Radar Conference 2023
Y2 - 6 November 2023 through 10 November 2023
ER -