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

Paulson, Kevin; Zhang, Xaiobei

Abstract

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.

Citation

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. https://doi.org/10.1029/2008RS003935

• Journal Article Type: Article
• Acceptance Date: Feb 5, 2009
• Online Publication Date: Apr 2, 2009
• Publication Date: 2009-04
• Journal: RADIO SCIENCE
• Print ISSN: 0048-6604
• Publisher: American Geophysical Union
• Peer Reviewed: Peer Reviewed
• Volume: 44
• Issue: 2
• Pages: 0 - 0
• DOI: https://doi.org/10.1029/2008RS003935
• Keywords: Rain fade; Networks; Rain model
• Public URL: https://hull-repository.worktribe.com/output/395924
• Publisher URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2008RS003935