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Proceedings Paper

GPU-based ray tracing algorithm for high-speed propagation prediction in multiroom indoor environments
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Paper Abstract

A novel ray tracing algorithm for high-speed propagation prediction in multi-room indoor environments is proposed in this paper, whose theoretical foundations are geometrical optics (GO) and the uniform theory of diffraction(UTD). Taking the geometrical and electromagnetic information of the complex indoor scene into account, some acceleration techniques are adopted to raise the efficiency of the ray tracing algorithm. The simulation results indicate that the runtime of the ray tracing algorithm will sharply increase when the number of the objects in multi-room buildings is large enough. Therefore, GPU acceleration technology is used to solve that problem. Finally, a typical multi-room indoor environment with several objects in each room is simulated by using the serial ray tracing algorithm and the parallel one respectively. It can be found easily from the results that compared with the serial algorithm, the GPU-based one can achieve greater efficiency.

Paper Details

Date Published: 20 October 2015
PDF: 8 pages
Proc. SPIE 9646, High-Performance Computing in Remote Sensing V, 96460G (20 October 2015); doi: 10.1117/12.2197385
Show Author Affiliations
Xiaowei Guan, Xidian Univ. (China)
Lixin Guo, Xidian Univ. (China)
Zhongyu Liu, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 9646:
High-Performance Computing in Remote Sensing V
Bormin Huang D.D.S.; Sebastián López; Zhensen Wu; Jose M. Nascimento; Boris A. Alpatov; Jordi Portell de Mora, Editor(s)

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