Accelerated GRECO Based on a GPU

Authors

  • Yang ZhengLong Nanjing Research Institute of Electronics Technology, China
  • Jin Lin Nanjing Research Institute of Electronics Technology, China
  • Li WeiQing Computer Science and Tech. Institute, Nanjing University of Science. and Technology, China

Keywords:

Accelerated GRECO Based on a GPU

Abstract

For obtaining the electromagnetic scattering characteristic of a complex target efficiently, GRECO (Graphical Electromagnetic COmputing) is implemented by a programmable pipeline of a modern GPU (Graphics Processing Unit). The speed of the simulation can be improved up to 20 times compared with the raw GRECO. The ray tracing algorithm based on a GPU is implemented to obtain the multiple reflection contribution of a target with concave structure. This approach will redound to research works such as radar target identification and Inverse Synthetic Aperture Radar (ISAR) imaging.

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References

J. M. Rius, M. Ferrando, and L. Jofre, “High -

frequency RCS of complex radar targets in

real-time,” IEEE Trans. on Antennas and

Propagat., vol. 41, no.9, pp. 1308–1318, Sep.

M. M. Okoniewski, S. E. Krakiwsky, L. E. Turner,

“Graphics processor unit (GPU) acceleration of

finite-difference time-domain (FDTD) algorithm,”

ISCAS 2004, IEEE, pp. 265–268, 2004.

D. Goddeke, GPGPU–basic math tutorial,

Technical report, FB Mathematik, Universitat

Dortmund, http://www.mathematik/ unidortmund.

de/~goeddeke/gpgpu, Nov. 2005.

W. Enhua, “State of the art and future challenge on

general purpose computation by graphics

processing unit,” Journal of Software(In Chinese),

vol. 15, no. 10, pp. 1493–1504, Oct. 2004.

R. J. Rost, OpenGL Shading Language, Addison

Wesley, 2004.

Y. ZhengLong, J. Lin, N. JingLing, and F. Dagang,

“Bistatic RCS calculation of complex target by

Greco,” Journal of Electronics (In Chinese), vol.

, no. 6, pp. 1033–1035, June 2004.

E. F. Knott, J. F. Shaeffer, and M. T. Tuley, Radar

Cross Section, Artech House, 1985.

R. S. Wright and Jr. B. Lipchak, OpenGL Super

Bible, Third Edtion. Sams Publishing, 2005.

R. Fernando, GPU GEMS, Programming

Techniques, Tips, and Tricks for Real-Time

Graphics, Pearson Education, Inc., 2005.

Y. ZhengLong, F. DaGang, and L. TieJun,

“Modification of software for computing EM

scattering of complex targets,” System Engineering

and Electronics (In Chinese), vol. 24, no. 4, pp.

–89, April 2002.

Q. DeHua, W. BaoFa, and L. TieJun,

“Improvements of edges detecting and diffraction

field computing in GRECO,” Journal of

Electronics (In Chinese), vol. 31, no. 8, pp.

–1163, Aug. 2003.

H. Ling and R. Bhalla, “Three-dimensional

scattering center extraction using the shooting and

bouncing ray technique,” IEEE Trans. on Antennas

and Propagat., vol. 44, no. 11, pp. 1445–1453,

Nov. 1996.

T. J. Purcell, I. Buck, W. R. Mark, and P. Hanrahan,

“Ray tracing on programmable graphics

hardware,” ACM Transactions on Graphics, vol.

, no. 3, pp. 703–712, July 2002.

D. Badouel, An Efficient Ray-Polygon Intersection,

Academic Press Professional, Inc., San Diego, CA,

USA, pp. 390–393, 1990.

D. Cohen and Z. Sheffer, “Proximity clouds-an

acceleration technique for 3D grid traversal,” The

Visual Computer, vol. 11, no. 1, pp. 27–38, 1994.

A. Fujimoto, T. Tanaka, and K. Iwata, “Arts:

Accelerated ray-tracing systems,” IEEE Comput.

Graph., vol. 6, no. 4, pp. 16–26, 1986.

D. F. Rogers, Prodedural Elements for Computer

Graphics, 2 nd Edition. McGraw-Hill Press, 1998.

J. Kim, GPGPU reduction example, http://web.

imrc. kist.re.kr/~jwkim/GLSL/reduction.zip, 2005.

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Published

2022-06-18

How to Cite

[1]
Y. . ZhengLong, J. . Lin, and L. . WeiQing, “Accelerated GRECO Based on a GPU”, ACES Journal, vol. 22, no. 3, pp. 321–326, Jun. 2022.

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