Sand and dust storm attenuation prediction using visibility and humidity measurements
Sand and dust storms present significant challenges to microwave and millimeter-wave propagation, directly impacting communication systems. Despite the existence of various theoretical and analytical models for predicting dust storm attenuation, many have overlooked the crucial factor of humidity....
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English English English |
Published: |
IEEE
2024
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Subjects: | |
Online Access: | http://irep.iium.edu.my/112658/1/112658_Sand%20and%20dust%20storm%20attenuation.pdf http://irep.iium.edu.my/112658/2/112658_Sand%20and%20dust%20storm%20attenuation_SCOPUS.pdf http://irep.iium.edu.my/112658/3/112658_Sand%20and%20dust%20storm%20attenuation_WOS.pdf http://irep.iium.edu.my/112658/ https://ieeexplore.ieee.org/document/10547254 |
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Summary: | Sand and dust storms present significant challenges to microwave and millimeter-wave
propagation, directly impacting communication systems. Despite the existence of various theoretical and
analytical models for predicting dust storm attenuation, many have overlooked the crucial factor of humidity.
This study had conducted a year-long monitoring of visibility, humidity, and received signal levels for
two microwave links operating at 14 GHz and 22 GHz in Khartoum, Sudan. The percentage variation in
visibility during a dust storm is 95%, and the percentage variation in humidity is 78%, as the received signal
level varies from −42.17 dB to −82 dB. The research unveils a notable correlation between fluctuations
in humidity and the complex permittivity of sand and dust particles. Furthermore, this study proposes an
empirically developed prediction model for sand and dust storm attenuation, surpassing existing models by
incorporating both visibility and humidity data. In contrast to models that solely rely on measured visibility
and neglect humidity, this research methodology takes into account both of these measured parameters
during dust storms to predict attenuation at any desired frequency. The model’s performance is validated
through measurements at 14 GHz, 22 GHz, and 40 GHz, demonstrating robust agreement with the collected
data. This comprehensive model provides a more accurate representation of the complex weather conditions
during sand and dust storms, enhancing the readability of microwave links design by accurate prediction and
mitigation of their impact on communication systems. |
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