Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations

Fuente: arXiv
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Autori principali: Blumenstein, Jiri, Zavorka, Radek, Vychodil, Josef, Mikulasek, Tomas, Wojtun, Jaroslaw, Kelner, Jan M., Ziolkowski, Cezary, Shukla, Rajeev, Hofer, Markus, Zemen, Thomas, Mecklenbrauker, Christoph, Chandra, Aniruddha, Prokes, Ales
Natura: Preprint
Pubblicazione: 2026
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author Blumenstein, Jiri
Zavorka, Radek
Vychodil, Josef
Mikulasek, Tomas
Wojtun, Jaroslaw
Kelner, Jan M.
Ziolkowski, Cezary
Shukla, Rajeev
Hofer, Markus
Zemen, Thomas
Mecklenbrauker, Christoph
Chandra, Aniruddha
Prokes, Ales
author_facet Blumenstein, Jiri
Zavorka, Radek
Vychodil, Josef
Mikulasek, Tomas
Wojtun, Jaroslaw
Kelner, Jan M.
Ziolkowski, Cezary
Shukla, Rajeev
Hofer, Markus
Zemen, Thomas
Mecklenbrauker, Christoph
Chandra, Aniruddha
Prokes, Ales
contents A stochastic modeling methodology for 3-D foliage is presented, aimed at enhancing ray-tracing simulations. The model supports adjustable stochastic geometry, density, and shape to capture variability in foliage structures. The model is validated through experimental measurements of representative vegetation. The influence of foliage density and size on path loss and root mean square delay spread is analyzed to demonstrate the applicability of the model in the 80 GHz frequency band.
format Preprint
id arxiv_https___arxiv_org_abs_2603_18810
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations
Blumenstein, Jiri
Zavorka, Radek
Vychodil, Josef
Mikulasek, Tomas
Wojtun, Jaroslaw
Kelner, Jan M.
Ziolkowski, Cezary
Shukla, Rajeev
Hofer, Markus
Zemen, Thomas
Mecklenbrauker, Christoph
Chandra, Aniruddha
Prokes, Ales
Signal Processing
94A40, 94A05, 94A12, 94A17
E.4; H.4.3
A stochastic modeling methodology for 3-D foliage is presented, aimed at enhancing ray-tracing simulations. The model supports adjustable stochastic geometry, density, and shape to capture variability in foliage structures. The model is validated through experimental measurements of representative vegetation. The influence of foliage density and size on path loss and root mean square delay spread is analyzed to demonstrate the applicability of the model in the 80 GHz frequency band.
title Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations
topic Signal Processing
94A40, 94A05, 94A12, 94A17
E.4; H.4.3
url https://arxiv.org/abs/2603.18810