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)