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Reflection coeffiicients for common indoor materials in the terahertz band

Kokkoniemi, Joonas; Lehtomäki, Janne; Juntti, Markku (2019-09-07)

 
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https://doi.org/10.1145/3233188.3233204

Kokkoniemi, Joonas
Lehtomäki, Janne
Juntti, Markku
Association for Computing Machinery
07.09.2019

Kokkoniemi, J., Lehtomäki, J., & Juntti, M. (2018). Reflection coefficients for common indoor materials in the terahertz band. Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication - NANOCOM ’18. Presented at the the 5th ACM International Conference. https://doi.org/10.1145/3233188.3233204

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© 2018 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 5th ACM International Conference on Nanoscale Computing and Communication, ACM NanoCom 2018, https://doi.org/10.1145/3233188.3233204.
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doi:https://doi.org/10.1145/3233188.3233204
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Abstract

We present some preliminary measurement results for the reflection properties of common indoor materials for 300 and 1000 GHz frequencies. These material include various wooden surfaces, concrete, rubber floor surface, and glass. All the presented materials are very smooth and only have a very small amount of diffuse scattering. For smooth surfaces, the reflection coefficients can reliably be estimated based on the Fresnel equations. The presented results are a part of a larger measurement campaign aiming at searching for refractive indices for different materials. Because these indices are unknown, we find them by fitting the measured path gains to those given by the Fresnel equations. Knowing the refractive indices, researchers can model the reflection loss/coefficients simply by Fresnel equations and, e.g., adjusting the polarization based on the desired application. The reflection coefficients have applications in all scales of communications, as the reflections are usually the most probable source of multipath signal components. Modeling these non-line-of-sight (NLOS) components properly is important when modeling realistic propagation environments.

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