Implementation of Real-Time Automotive SAR Imaging
Hoffmann M, Noegel T, Schüßler C, Schwenger L, Gulden P, Fey D, Vossiek M (2023)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2023
Publisher: IEEE
Event location: Berlin
DOI: 10.23919/EuRAD58043.2023.10289475
Abstract
This paper presents measures to reduce the computation time of automotive synthetic aperture radar (SAR) imaging to achieve real-time capability. For this, the image formation, which is based on the Back-Projection algorithm, was thoroughly analyzed. Various optimizations were individually tested and analyzed on graphics processing units (GPU). Apart from the time reduction gained from these measures, the data size needed for processing was also drastically decreased. With a combination of all measures, a high-resolution SAR image of 30 m × 30 m that combines 8192 chirps can be reconstructed in less than 30 ms using a standard GPU. It is thus demonstrated that a real-time implementation of automotive SAR is possible.
Authors with CRIS profile
Marcel Hoffmann
Lehrstuhl für Hochfrequenztechnik
Theresa Noegel
Lehrstuhl für Hochfrequenztechnik
Christian Schüßler
Lehrstuhl für Hochfrequenztechnik
Lars Schwenger
Lehrstuhl für Informatik 3 (Rechnerarchitektur)
Dietmar Fey
Lehrstuhl für Informatik 3 (Rechnerarchitektur)
Martin Vossiek
Lehrstuhl für Hochfrequenztechnik
Additional Organisation(s)
Involved external institutions
United States (USA) (US)How to cite
APA:
Hoffmann, M., Noegel, T., Schüßler, C., Schwenger, L., Gulden, P., Fey, D., & Vossiek, M. (2023). Implementation of Real-Time Automotive SAR Imaging. In Proceedings of the 2023 20th European Radar Conference. Berlin, DE: IEEE.
MLA:
Hoffmann, Marcel, et al. "Implementation of Real-Time Automotive SAR Imaging." Proceedings of the 2023 20th European Radar Conference, Berlin IEEE, 2023.
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