Long-Term Channel Analysis at 60 and 80 GHz for Autonomous Ground Vehicles

This paper presents a comprehensive measurement campaign aimed at evaluating indoor-to-indoor radio channels in dynamic scenarios, with a particular focus on applications such as autonomous ground vehicles (AGV). These scenarios are characterized by the height of the antennas, addressing the unique challenges of near-ground communication. Our study involves long-term measurements (20 minutes of continuous recording per measurement) of the channel impulse response (CIR) in the 60 GHz and 80 GHz frequency bands, each with a bandwidth of 2.048 GHz. We investigate the variations in channel characteristics, focusing on parameters such as root mean square (RMS) delay spread and the Rician <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$K$</tex>-factor.

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Published
2024-10-09
DOI
https://doi.org/10.1109/cama62287.2024.10986285
Citations
1
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.21
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article

Long-Term Channel Analysis at 60 and 80 GHz for Autonomous Ground Vehicles

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1 citations
Millimeter-Wave Propagation and Modeling
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article

Long-Term Channel Analysis at 60 and 80 GHz for Autonomous Ground Vehicles

Jan M. Kelner, Josef Vychodil, Aleš Prokeš, Tomáš Mikulášek, Jiří Blumenstein, Cezary Ziółkowski, Aniruddha Chandra, Radek Závorka, Hussein Hammoud, Wojtuń Jarosław
article en
1 citations

Abstract

This paper presents a comprehensive measurement campaign aimed at evaluating indoor-to-indoor radio channels in dynamic scenarios, with a particular focus on applications such as autonomous ground vehicles (AGV). These scenarios are characterized by the height of the antennas, addressing the unique challenges of near-ground communication. Our study involves long-term measurements (20 minutes of continuous recording per measurement) of the channel impulse response (CIR) in the 60 GHz and 80 GHz frequency bands, each with a bandwidth of 2.048 GHz. We investigate the variations in channel characteristics, focusing on parameters such as root mean square (RMS) delay spread and the Rician <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$K$</tex>-factor.

University of Southern California (US), National Institute of Technology Durgapur (IN), Military University of Technology in Warsaw (PL), Brno University of Technology (CZ)
Affordable and clean energy
Openalex Percentile: Top 43%
Millimeter-Wave Propagation and Modeling
0.21
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