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GPU-based shooting and bouncing ray method for fast RCS prediction

Research Output: Contribution to journal Article Peer-review

Abstract

The shooting and bouncing ray (SBR) method is highly effective in the radar cross section (RCS) prediction. For electrically large and complex targets, computing scattered fields is still time-consuming in many applications like range profile and ISAR simulation. In this paper, we propose a GPU-based SBR that is fully implemented on the graphics processing unit (GPU). Based on the stackless kd-tree traversal algorithm, the ray tube tracing can rapidly evaluate the exit position in a single pass on the GPU. We also present a technique for fast electromagnetic computing that allows the geometric optics (GO) and Physical optics (PO) integral to be carried out on the GPU efficiently during the ray tube tracing. Numerical experiments demonstrate that the GPU-based SBR can significantly improve the computational efficiency of the RCS prediction, about 30 times faster, while providing the same accuracy as the CPU-based SBR.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 494-502

Journal (Volume, Issue Number)

IEEE Transactions on Antennas and Propagation (Volume 58, Issue 2)

Publication milestones

  • Published - 01/02/2010

Publication status

Published - 01/02/2010

ISSN

0018-926X

External Publication IDs

  • handle.net: 10547/224155
  • Scopus: 76849089128

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