GPU-based parallelized time-domain back-projection processing for Agile SAR platforms

Author

Frey, Othmar ; Werner, Charles L. ; Wegmuller, Urs

Author_Institution

Gamma Remote Sensing, ETH Zurich, Zurich, Switzerland

fYear

2014

fDate

13-18 July 2014

Firstpage

1132

Lastpage

1135

Abstract

Agile SAR platforms such as an automobile require a flexible SAR processing scheme to account for nonlinear sensor trajectories during the synthetic aperture. In this contribution, a parallelized implementation of a time-domain back-projection SAR focusing algorithm based on NVIDIA´s CUDA GPU computing framework is presented and discussed using a car-borne SAR data set. The processing performance is assessed using different hardware. In addition, a pre-processing scheme is described that allows for full 3-D motion compensation, yet staying conveniently in conventional slant-range/azimuth geometry of single-look complex SAR images.

Keywords

graphics processing units; motion compensation; parallel processing; radar signal processing; synthetic aperture radar; 3D motion compensation; GPU based backprojection processing; NVIDIA CUDA GPU computing framework; SAR processing scheme; agile SAR platforms; car borne SAR data set; nonlinear sensor trajectories; parallelized backprojection processing; single look complex SAR images; slant azimuth geometry; slant range geometry; synthetic aperture; time domain backprojection processing; Azimuth; Focusing; Graphics processing units; Remote sensing; Synthetic aperture radar; Time-domain analysis; Azimuth focusing; CARSAR; CUDA; GPU; Nonlinear Sensor Trajectory; Parallelization; SAR imaging; SAR interferometry; Synthetic aperture radar (SAR); car-borne SAR; ground-based SAR system;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6946629

Filename

6946629