Simplifying Through-Forest Propagation Modelling

Resource type
Date created
2020-01-23
Authors/Contributors
Abstract
Propagation analysis and modeling is critical for radio systems design, but remains a challenge for most through-vegetation situations, including forests. Transmission through such inhomogeneous mixed media is complicated by the many different propagation mechanisms and the complexity of the randomness. This means that accurate, purely physics-based analysis is unlikely to be practical (conveniently computed), and similarly, that practical, purely random modeling is unlikely to be accurate. Through-vegetation propagation models, including the standard radiative energy transfer (RET), are not very accurate in the sense that the uncertainty can be tens of dB, and this seems to be an accepted limitation for vegetation. A simpler propagation model, which maintains or improves accuracy, but keeps a reasonable association with the physics, would be insightful. This paper discusses such a model. It comprises two parallel transmission mechanisms: direct transmission through a succession of trees, which is modeled by a simple linear transmission line; and transmission across the forest top, which is modeled by simplified multiple-edge diffraction. The model is examined using recently-published experiments over a long path-length. It is demonstrated that this two-mechanism model can provide an accurate fit to the dual-slope profile of through-forest propagation over a long distance which is not possible with the RET model.
Document
Published as
Zabihi, Roshanak & Vaughan, Rodney. (2020). Simplifying Through-Forest Propagation Modelling. IEEE Open Journal of Antennas and Propagation. PP. 1-1. DOI: 10.1109/OJAP.2020.2969127.
Publication title
IEEE Open Journal of Antennas and Propagation
Document title
Simplifying Through-Forest Propagation Modelling
Date
2020
Publisher DOI
10.1109/OJAP.2020.2969127
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
Member of collection
Attachment Size
08966944.pdf 2.83 MB