Optimized Minimum-Search for SAR Backprojection Autofocus on GPUs Using CUDA

authored by

Niklas Rother, Christian Fahnemann, Jan Wittler, Holger Christoph Blume

Abstract

Autofocus techniques for synthetic aperture radar (SAR) can improve the image quality substantially. Their high computational complexity imposes a challenge when employing them in runtime-critical implementations. This paper presents an autofocus implementation for stripmap SAR specially optimized for parallel architectures like GPUs. Thorough evaluation using real SAR data shows that the tunable parameters of the algorithm allow to counterbalance runtime and achieved image quality.

Organisation(s)

Architectures and Systems Section

Type

Conference contribution

Publication date

2020

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

Electronic version(s)

https://doi.org/10.15488/13271 (Access: Open)
https://doi.org/10.1109/RadarConf2043947.2020.9266636 (Access: Closed)