Abstract
Modern infrastructures support smart-city operations, which are based on short millimeter-waves wireless links connected by a dense network. These links are sensitive to hydrometeors, and their signals attenuated by rain. In this study, we demonstrate that standard signal-level measurements being collected by the network can be used to estimate the movement of an ongoing storm. Parameters characterizing the movements of the frontal rain cell, as its velocity and direction, can be accurately estimated. We first estimate the differential time of arrival of the attenuated signals between pairs of links, from which we extract the parameters of interest. We demonstrate our results using actual measurements from an operating system in the city of Rehovot, Israel.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4910-4914 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509066315 |
| DOIs | |
| State | Published - May 2020 |
| Externally published | Yes |
| Event | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Barcelona, Spain Duration: 4 May 2020 → 8 May 2020 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 2020-May |
| ISSN (Print) | 1520-6149 |
Conference
| Conference | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 4/05/20 → 8/05/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Array Processing
- Smart-City
- Storm Direction Estimation
- TDE
- mmWave