Hardware-optimized minimum-search for SAR backprojection autofocus on FPGAs

authored by

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.

Organisation(s)

Institute of Microelectronic Systems
Institute of Information Processing

Type

Conference contribution

No. of pages

5

Publication date

2019

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Artificial Intelligence, Computer Networks and Communications, Signal Processing, Instrumentation

Electronic version(s)

https://doi.org/10.1109/RADAR41533.2019.171279 (Access: Closed)