Hardware-optimized minimum-search for SAR backprojection autofocus on FPGAs
- verfasst von
- Christian Fahnemann, Daniel Fallnich, Aron Sommer, Fabian Cholewa, Holger Blume
- Abstract
Autofocus techniques for synthetic aperture radar (SAR) enable high image quality in case of suboptimal flight trajectories. However, the computational effort for image formation is increased significantly. In case of already resource demanding time-domain based backprojection, highly iterative methods are therefore not feasible in runtime-critical applications. An efficiently parallelizable and scalable minimum-search based optimization algorithm is presented, tailored to the needs of SAR autofocus on field programmable gate array (FPGA) hardware. It reduces computation time by more than an order of magnitude compared to sequential minimization.
- Organisationseinheit(en)
-
Institut für Mikroelektronische Systeme
Institut für Informationsverarbeitung
- Typ
- Aufsatz in Konferenzband
- Anzahl der Seiten
- 5
- Publikationsdatum
- 2019
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Artificial intelligence, Computernetzwerke und -kommunikation, Signalverarbeitung, Instrumentierung
- Elektronische Version(en)
-
https://doi.org/10.1109/RADAR41533.2019.171279 (Zugang:
Geschlossen)