Multi-Frequency Channel Measurement and Characteristic Analysis in Forested Scenario for Emergency Rescue

Wireless communication has been widely used in emergency rescue, including from command vehicles to command vehicles, command vehicles to rescue teams, command vehicles to wireless sensors, and rescue teams to intelligent platforms such as unmanned vehicles. Compared to those used in cities and subu...

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Bibliographic Details
Published in:Electronics (Basel) 2024-01, Vol.13 (2), p.396
Main Authors: Guo, Wei, Yuan, Rong, Ma, Hui, Yuan, Yongxia, Fei, Dan, Guan, Ke, Chen, Haoran, Shen, Yufei, Fang, Yudong, Cheng, Wenchi
Format: Article
Language:English
Subjects:
Antennas
Assistance in emergencies
Communications equipment
Environmental aspects
Forests
Methods
Mobile communication systems
Mountains
Receivers & amplifiers
Rescue operations
Rescue work
Satellite communications
Signal processing
Teams
Technology application
Unmanned vehicles
Urban areas
Vegetation
Wave propagation
Wireless communication systems
Wireless communications
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Summary:Wireless communication has been widely used in emergency rescue, including from command vehicles to command vehicles, command vehicles to rescue teams, command vehicles to wireless sensors, and rescue teams to intelligent platforms such as unmanned vehicles. Compared to those used in cities and suburbs, when the same communication equipment is used in forests, its communication performance, such as transmission distance, is entirely different. The main reason for this phenomenon is the extraordinary complexity of wireless signal propagation in forest scenarios. Therefore, in order to accurately and quantitatively describe the wireless channel characteristics in forest scenarios, a frequency channel measurement activity is conducted in a forest and analysis is performed to acquire the channel characteristics in forest scenarios. The measurements are carried out at 380 MHz, 640 MHz, and 1420 MHz in virgin forest. Based on the measurement data, the average power delay profile (APDP) is obtained, and multipath components (MPCs) are extracted. Root mean square (RMS) delay spread and path loss (PL) are analyzed according to MPCs. Furthermore, a new path loss model is proposed. Finally, a new path loss model and relative analysis are provided.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics13020396