Name
Title | ||
|---|---|---|
Assessment of model‐based scintillation variance prediction on long‐term basis using Italsat satellite measurements |
Abstract | ||
|---|---|---|
The objective of this paper is to assess the accuracy of model‐based statistical methods
for predicting clear‐air scintillation amplitude variance from ground‐based meteorological
measurements on long term basis. Six model‐based estimation methods are considered
and discussed, two of them including also the use of vertically integrated water vapour
content as a predictor. They are derived from synthetic data, obtained by applying
an electromagnetic model to a large historical radiosounding dataset in order to simulate
the received scintillation power at microwave and millimeter‐wave. The empirical methods
of ITU‐R, Karasawa, and Ortgies are also considered for comparison. The long‐term
predictions derived from each method are compared with measurements from the Italsat
satellite beacons at 18·7, 39·6, and 49·5 GHz, acquired during 1995 at Spino d'Adda
(Milan, Italy) site. The method intercomparison is carried out by checking the assumed
best‐fitting probability density function for the log‐amplitude fluctuation variance
and by applying the considered methods to the available ground‐based meteorological
measurements. Statistical results in terms of bias, root mean square value and skewness
of the percentage error are discussed in order to understand the potential and the
limits of each model‐based prediction method within this case study. Copyright © 1999
John Wiley & Sons, Ltd.
|
Year | DOI | Venue |
|---|---|---|
1999 | 10.1002/(SICI)1099-1247(199901/02)17:1<17::AID-SAT615>3.3.CO;2-0 | Int. J. Satellite Communications Networking |
Keywords | Field | DocType |
scintillation,earth–satellite links,prediction methods,electromagnetic models | Meteorology,Beacon,Satellite,Skewness,Telecommunications,Scintillation,Synthetic data,Root mean square,Engineering,Probability density function,Amplitude | Journal |
Volume | Issue | Citations |
17 | 1 | 2 |
PageRank | References | Authors |
0.80 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank S. Marzano | 1 | 41 | 15.92 |
| Carlo Riva | 2 | 2 | 0.80 |
| Alessio Banich | 3 | 2 | 0.80 |
| Fabio Clivio | 4 | 2 | 0.80 |