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基于改进光线追踪算法的微蜂窝传播预测模型

Microcellular propagation prediction model based on an improved ray tracing algorithm.

作者信息

Liu Z-Y, Guo L-X, Fan T-Q

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2013 Nov 1;30(11):2372-80. doi: 10.1364/JOSAA.30.002372.

DOI:10.1364/JOSAA.30.002372
PMID:24322938
Abstract

Two-dimensional (2D)/two-and-one-half-dimensional ray tracing (RT) algorithms for the use of the uniform theory of diffraction and geometrical optics are widely used for channel prediction in urban microcellular environments because of their high efficiency and reliable prediction accuracy. In this study, an improved RT algorithm based on the "orientation face set" concept and on the improved 2D polar sweep algorithm is proposed. The goal is to accelerate point-to-point prediction, thereby making RT prediction attractive and convenient. In addition, the use of threshold control of each ray path and the handling of visible grid points for reflection and diffraction sources are adopted, resulting in an improved efficiency of coverage prediction over large areas. Measured results and computed predictions are also compared for urban scenarios. The results indicate that the proposed prediction model works well and is a useful tool for microcellular communication applications.

摘要

基于一致性绕射理论和几何光学的二维(2D)/二维半射线追踪(RT)算法,因其高效性和可靠的预测精度,在城市微蜂窝环境的信道预测中得到了广泛应用。在本研究中,提出了一种基于“定向面集”概念和改进的二维极坐标扫描算法的改进RT算法。目标是加速点对点预测,从而使RT预测具有吸引力且方便实用。此外,采用了对每条射线路径的阈值控制以及对反射和绕射源可见网格点的处理,从而提高了大面积覆盖预测的效率。还对城市场景的测量结果和计算预测进行了比较。结果表明,所提出的预测模型效果良好,是微蜂窝通信应用的有用工具。

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