GPU-Accelerated Shooting and Bouncing Ray Method for Inverse Synthetic Aperture Radar Imaging

Date

2022-01-01

Author

Bural, Berk
ÖZGÜN, ÖZLEM
YILMAZ, ASIM EGEMEN
Kuzuoğlu, Mustafa

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The most time-consuming part of the conventional Shooting and Bouncing Ray (SBR) method is the ray tracing process, which increases the computation time because of the large number of ray tubes used to model the incident wave and the large number of triangles used to model the surface mesh. In this study, an accelerated SBR method is presented to reduce the computational burden. Acceleration is done both by reducing the amount of ray-triangle intersection tests with the help of octree decomposition of 3D mesh structure, and by parallelizing the ray tracing algorithm on GPU (graphics processing unit) in MATLAB. The proposed method is used to obtain the Inverse Synthetic Aperture Radar (ISAR) image of electrically-large complex objects. The numerical results are compared with those of a commercial software.

Subject Keywords

Shooting and Bouncing Ray, octree decomposition, GPU programming, Inverse Synthetic Aperture Radar imaging, RCS

URI

https://hdl.handle.net/11511/100757

DOI

https://doi.org/10.1109/radioelektronika54537.2022.9764947

Conference Name

32nd International Conference on Radioelectronics (RADIOELECTRONICS)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Bural, Ö. ÖZGÜN, A. E. YILMAZ, and M. Kuzuoğlu, “GPU-Accelerated Shooting and Bouncing Ray Method for Inverse Synthetic Aperture Radar Imaging,” presented at the 32nd International Conference on Radioelectronics (RADIOELECTRONICS), Koshice, Slovakya, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100757.