We present and discuss two main results concerning the relationship between phase delay due to rain and rain attenuation, useful in calculations concerning high precision tracking of satellites and deep–space spacecrafts using interferometry techniques. We have found these two results with the Synthetic Storm Technique [SST] applied to a large data bank of rain rate time series collected at three sites in Italy. The first result concerns a formula that provides the extra signal phase delay (picoseconds) due to rain as a function of rain attenuation A (dB), frequency f (GHz) and slant path elevation angle (degrees), given by , for , and by , for . The formula allows estimating the phase delay due to rain attenuation, with overall average (normalized) error , standard deviation , root-mean square for 20° slant paths. The second result concerns a method to predict phase delay from the probability distribution of rain rate (SST probability model), very useful when only the probability distribution of rain rate is known.

A Relationship Between Phase Delay and Attenuation Due to Rain and Its Applications to Satellite and Deep-Space Tracking

MATRICCIANI, EMILIO
2009-01-01

Abstract

We present and discuss two main results concerning the relationship between phase delay due to rain and rain attenuation, useful in calculations concerning high precision tracking of satellites and deep–space spacecrafts using interferometry techniques. We have found these two results with the Synthetic Storm Technique [SST] applied to a large data bank of rain rate time series collected at three sites in Italy. The first result concerns a formula that provides the extra signal phase delay (picoseconds) due to rain as a function of rain attenuation A (dB), frequency f (GHz) and slant path elevation angle (degrees), given by , for , and by , for . The formula allows estimating the phase delay due to rain attenuation, with overall average (normalized) error , standard deviation , root-mean square for 20° slant paths. The second result concerns a method to predict phase delay from the probability distribution of rain rate (SST probability model), very useful when only the probability distribution of rain rate is known.
2009
Radio propagation; meteorological factors; satellite applications; rainfall effects; design methodology; deep-space tracking.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/560684
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