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Simulation of rain fade on arbitrary microwave link networks by the downscaling and interpolation of rain radar data

Paulson, Kevin; Zhang, Xaiobei


Kevin Paulson

Xaiobei Zhang


To predict the Quality of Service at a node in heterogeneous networks of line-of-sight, terrestrial, microwave links requires knowledge of the spatial and temporal statistics of rain over scales of a few meters to tens or hundreds of kilometers, and over temporal periods as short as 1 s. Meteorological radar databases provide rain rate maps over areas with a spatial resolution as fine as a few hundred meters and a sampling period of 2 to 15 min. Such two-dimensional, rain rate map time series would have wide application in the simulation of rain scatter and attenuation of arbitrary millimeter-wave radio networks, if the sampling period were considerably shorter, i.e., of the order of 10 s or less, and the integration volumes smaller. This paper investigates a stochastic-numerical method to interpolate and downscale rain rate field time series to shorter sampling periods and smaller spatial integration areas, while conserving the measured and expected statistics. A series of radar derived rain maps, with a 10 min sample period, are interpolated to 10 s. The statistics of the interpolated-downscaled data are compared to fine-scale rain data, i.e., 10 s rain gauge data and radar data with a 300-m resolution. The interpolated rain map time series is used to predict the fade duration statistics of a microwave link, and these are compared to a published and ITU-R model.


Paulson, K., & Zhang, X. (2009). Simulation of rain fade on arbitrary microwave link networks by the downscaling and interpolation of rain radar data. Radio science, 44(2), 0 - 0.

Journal Article Type Article
Acceptance Date Feb 5, 2009
Online Publication Date Apr 2, 2009
Publication Date 2009-04
Print ISSN 0048-6604
Publisher American Geophysical Union
Peer Reviewed Peer Reviewed
Volume 44
Issue 2
Pages 0 - 0
Keywords Rain fade; Networks; Rain model
Public URL
Publisher URL


Published article (291 Kb)

Copyright Statement
Copyright 2009 by the American Geophysical Union.

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