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Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment

by Congzheng Han 1,2,*, Juan Huo 1,2, Qingquan Gao 1, Guiyang Su 3 and Hao Wang 1,2
1
Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Zhejiang Provincial Meteorological Observatory, Hangzhou 310002, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(6), 1045; https://doi.org/10.3390/rs12061045
Received: 31 January 2020 / Revised: 8 March 2020 / Accepted: 17 March 2020 / Published: 24 March 2020
High-resolution and accurate rainfall monitoring is of great importance to many applications, including meteorology, hydrology, and flood monitoring. In recent years, microwave backhaul links from wireless communication networks have been suggested for rainfall monitoring purposes, complementing the existing monitoring systems. With the advances in microwave technology, new microwave backhaul solutions have been proposed and applied for 5G networks. Examples of the latest microwave technology include E-band (71–76 and 81–86 GHz) links, multi-band boosters, and line-of-sight multiple-input multiple-output (LOS-MIMO) backhaul links. They all rely on millimeter-wave (mmWave) technology, which is the fastest small-cell backhaul solution. In this paper, we will study the rain attenuation characteristics of these new microwave backhaul techniques at different mmWave frequencies and link lengths. We will also study the potential of using these new microwave solutions for rainfall monitoring. Preliminary results indicate that all the test mmWave links can be very effective for estimating the path-averaged rain rates. The correlation between the mmWave link measurement-derived rain rate and the local rain gauge is in the range of 0.8 to 0.9, showing a great potential to use these links for precipitation and flood monitoring in urban areas. View Full-Text
Keywords: rainfall monitoring; remote sensing; rain rate estimation; 5G; millimeter-wave; E-band; LOS-MIMO rainfall monitoring; remote sensing; rain rate estimation; 5G; millimeter-wave; E-band; LOS-MIMO
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MDPI and ACS Style

Han, C.; Huo, J.; Gao, Q.; Su, G.; Wang, H. Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment. Remote Sens. 2020, 12, 1045.

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