Channel Modeling and Characterization of Typical Flight Scenarios of Low-Altitude Unmanned Aerial Vehicles

In this paper, a channel measurement system suitable for typical flight scenarios of low-altitude unmanned aerial vehicles (UAVs) is constructed, and a channel measurement algorithm is proposed. Based on this system, the channels of three typical flight scenarios of UAVs are measured, including two line-of-sight (LOS) scenarios and one non-line-of-sight (NLOS) scenario. Then, the channel measurement results are statistically analyzed, and the channel characteristics are analyzed. Finally, the channel model of these typical scenarios is constructed, and the typical parameters such as root mean square delay spread (RMS-DS) and Rice factor are given.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/iccc62609.2024.10942034
Primary Topic
Real-time simulation and control systems
Type
article
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article

Channel Modeling and Characterization of Typical Flight Scenarios of Low-Altitude Unmanned Aerial Vehicles

Yuan Liang, Xin Xiang, Peng Wang, Mao Hu et al.
Real-time simulation and control systems
article

Channel Modeling and Characterization of Typical Flight Scenarios of Low-Altitude Unmanned Aerial Vehicles

Yuan Liang, Xin Xiang, Peng Wang, Mao Hu, Pengyu Dong, Rui Wang
article en

Abstract

In this paper, a channel measurement system suitable for typical flight scenarios of low-altitude unmanned aerial vehicles (UAVs) is constructed, and a channel measurement algorithm is proposed. Based on this system, the channels of three typical flight scenarios of UAVs are measured, including two line-of-sight (LOS) scenarios and one non-line-of-sight (NLOS) scenario. Then, the channel measurement results are statistically analyzed, and the channel characteristics are analyzed. Finally, the channel model of these typical scenarios is constructed, and the typical parameters such as root mean square delay spread (RMS-DS) and Rice factor are given.

Air Force Engineering University (CN)
Openalex Percentile: Top 63%
Real-time simulation and control systems
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