Abstract
Real-time rainfall monitoring has always presented great benefits but faced practical challenges. The last decade presented key advancements, the major part of which revolves around employing the effects of precipitation on wireless electromagnetic waves, and in particular, communication signals. Here we present developments in rainfall monitoring involving wireless communication networks. In particular, we discuss the use of existing physical measurements taken by commercial cellular networks as proxies for rainfall. Each microwave-link, representing the channel between two base-stations in a cellular network, can serve as a rain-sensor since the attenuation of the signal along the link is proportional to rain rates. We discuss the opportunities and challenges in using these Opportunistic Sensors (OS) and demonstrate how improvements in coverage, accuracy, and resolution of rainfall measurements can be achieved with no hardware costs. In particular, we discuss the challenge of relating the available links' geometry to the feasible precision and resolution of the reconstructed rainfall map.
Original language | English |
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Title of host publication | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1012-1016 |
Number of pages | 5 |
ISBN (Electronic) | 9781509045457 |
DOIs | |
State | Published - 19 Apr 2017 |
Externally published | Yes |
Event | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States Duration: 7 Dec 2016 → 9 Dec 2016 |
Publication series
Name | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings |
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Conference
Conference | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 |
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Country/Territory | United States |
City | Washington |
Period | 7/12/16 → 9/12/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Microwave links
- Rain field estimation
- Rainfall mapping
- Sparsity