RCS-based Quasi-Deterministic Ray Tracing for Statistical Channel Modeling

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...

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Bibliographic Details
Published inarXiv.org
Main Authors Ebrahimizadeh, Javad, Vinogradov, Evgenii, Vandenbosch, Guy A E
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 10.07.2023
Subjects
Electromagnetic radiation
Millimeter waves
Pedestrians
Radar cross sections
Ray tracing
Street canyons
Streets
Wave propagation
Wireless communication systems
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Summary: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.
ISSN:2331-8422