This paper presents a quasi-deterministic ray tracing (QD-RT) method for analyzing the propagation of electromagnetic waves in street canyons. The method uses a statistical bistatic distribution to model the Radar Cross Section (RCS) of various irregular objects such as cars and pedestrians, instead of relying on exact values as in a deterministic propagation model. The performance of the QD-RT method is evaluated by comparing its generated path loss distributions to those of the deterministic ray tracing (D-RT) model using the Two-sample Cramer-von Mises test. The results indicate that the QD-RT method generates the same path loss distributions as the D-RT model while offering lower complexity. This study suggests that the QD-RT method has the potential to be used for analyzing complicated scenarios such as street canyon scenarios in mmWave wireless communication systems.

翻译：本文提出一种准确定性射线追踪（QD-RT）方法，用于分析街谷场景中电磁波的传播特性。该方法采用统计双基地分布模型来表征汽车、行人等各类不规则物体的雷达散射截面（RCS），而非像确定性传播模型那样依赖精确值。通过采用双样本Cramer-von Mises检验，将QD-RT方法生成的路径损耗分布与确定性射线追踪（D-RT）模型的结果进行对比，评估了该方法的性能。结果表明，QD-RT方法在保持与D-RT模型相同的路径损耗分布的同时，具有更低的复杂度。本研究表明，QD-RT方法有望用于分析毫米波无线通信系统中街谷场景等复杂场景。