TY - GEN
T1 - Estimating Absolute Humidity Using Latency Measurements over CMLs
T2 - 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
AU - Leibovitz, Gal
AU - Messer, Hagit
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - In recent years measurements of the attenuation in Commercial Microwave Links (CMLs) have been used for monitoring atmospheric phenomena, and in particular rain and absolute humidity (AH). In this work, we present a method for estimating absolute humidity using measurements of the propagation delay in a CML. Using real data we show that although the refractive index of the propagation channel, which is responsible for the delay, depends on the temperature and barometric pressure as well as on the absolute humidity, measurements of the propagation delay are sufficient for reliable estimation of the absolute humidity even when the corresponding measurements of the temperature and pressure are not provided. Theoretical error analysis of the AH estimates is also presented, showing good agreement with the empirical results.
AB - In recent years measurements of the attenuation in Commercial Microwave Links (CMLs) have been used for monitoring atmospheric phenomena, and in particular rain and absolute humidity (AH). In this work, we present a method for estimating absolute humidity using measurements of the propagation delay in a CML. Using real data we show that although the refractive index of the propagation channel, which is responsible for the delay, depends on the temperature and barometric pressure as well as on the absolute humidity, measurements of the propagation delay are sufficient for reliable estimation of the absolute humidity even when the corresponding measurements of the temperature and pressure are not provided. Theoretical error analysis of the AH estimates is also presented, showing good agreement with the empirical results.
KW - Absolute humidity
KW - Commercial microwave links
KW - Error analysis
KW - Propagation delay
KW - Refractive index
UR - http://www.scopus.com/inward/record.url?scp=85107755813&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF51394.2020.9443282
DO - 10.1109/IEEECONF51394.2020.9443282
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AN - SCOPUS:85107755813
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 623
EP - 630
BT - Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
A2 - Matthews, Michael B.
PB - IEEE Computer Society
Y2 - 1 November 2020 through 5 November 2020
ER -