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

Xiaowei Guan; Lixin Guo; Zhongyu Liu

doi:10.1117/12.2197385

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20 October 2015 GPU-based ray tracing algorithm for high-speed propagation prediction in multiroom indoor environments

Xiaowei Guan; Lixin Guo; Zhongyu Liu

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Proceedings Volume 9646, High-Performance Computing in Remote Sensing V; 96460G (2015) https://doi.org/10.1117/12.2197385
Event: SPIE Remote Sensing, 2015, Toulouse, France

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.

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Xiaowei Guan, Lixin Guo, and Zhongyu Liu "GPU-based ray tracing algorithm for high-speed propagation prediction in multiroom indoor environments", Proc. SPIE 9646, High-Performance Computing in Remote Sensing V, 96460G (20 October 2015); https://doi.org/10.1117/12.2197385

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