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

Lixin Guo; Xiaowei Guan; Zhongyu Liu

doi:10.1117/12.2197384

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

Lixin Guo, Xiaowei Guan, Zhongyu Liu

Proceedings Volume 9646, High-Performance Computing in Remote Sensing V; 964606 (2015) https://doi.org/10.1117/12.2197384
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

A fast 3-D ray tracing propagation prediction model based on virtual source tree is presented in this paper, whose theoretical foundations are geometrical optics(GO) and the uniform theory of diffraction(UTD). In terms of typical single room indoor scene, taking the geometrical and electromagnetic information 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 the single room is large enough. Therefore, GPU acceleration technology is used to solve that problem. As is known to all, GPU is good at calculation operation rather than logical judgment, so that tens of thousands of threads in CUDA programs are able to calculate at the same time, in order to achieve massively parallel acceleration. Finally, a typical single room with several objects 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.

Citation Download Citation

Lixin Guo, Xiaowei Guan, and Zhongyu Liu "GPU-based ray tracing algorithm for high-speed propagation prediction in typical indoor environments", Proc. SPIE 9646, High-Performance Computing in Remote Sensing V, 964606 (20 October 2015); https://doi.org/10.1117/12.2197384

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