Advancing Accuracy of Shooting and Bouncing Rays Method for Ray-Tracing Propagation Modeling Based on Novel Approaches to Ray Cone Angle Calculation

被引:37
作者
Kasdorf, Stephen [1 ]
Troksa, Blake [1 ]
Key, Cam [1 ]
Harmon, Jake [1 ]
Notaros, Branislav M. [1 ]
机构
[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA
基金
美国国家科学基金会;
关键词
Computational modeling; Wireless communication; Ray tracing; Reflection; Numerical models; Geometry; Electric fields; Asymptotic high-frequency techniques; double count removal; image theory (IT) ray tracing; propagation in large tunnels; ray cone angles; ray-tracing (RT) method; shooting bouncing ray (SBR) techniques; wireless propagation modeling; TUNNELS;
D O I
10.1109/TAP.2021.3060051
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose and evaluate several improvements to the accuracy of the shooting and bouncing ray (SBR) method for ray-tracing (RT) electromagnetic modeling. We propose per-ray cone angle calculation, with the maximum separation angle between rays calculated for every individual ray, based on a set of local neighbors rather than a single global maximum. This allows the smallest theoretical error of the SBR method, adaptive ray spawning procedures, and a unique analysis of the effect of ray cone sizes on the accuracy of the method. For the conventional uniform angular distribution of rays, a less general and versatile but more expeditious approach, we derive an analytical expression for the optimal choice of cone angle to again maximize the overall accuracy of the SBR computation. Both approaches are derived using icosahedral ray spawning geometry and adjacent ray sets, which are also used for our double counted rays identification and removal technique that avoids complicated ray path searches. The results demonstrate that the advanced shooting and bouncing RT method--using both proposed ray cone generation approaches--can perform wireless propagation modeling of tunnel environments with the same accuracy as image theory RT, a dramatically less efficient but traditionally considerably more accurate solver.
引用
收藏
页码:4808 / 4815
页数:8
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