DocumentCode :
1501959
Title :
Prediction of tropospheric scintillation on satellite links from radiosonde data
Author :
Vasseur, Hugues
Author_Institution :
Catholique Univ., Louvain-la-Neuve, Belgium
Volume :
47
Issue :
2
fYear :
1999
fDate :
2/1/1999 12:00:00 AM
Firstpage :
293
Lastpage :
301
Abstract :
On the basis of radiosonde data, a new method is proposed for predicting tropospheric scintillation effects on slant paths. It stems from a rigorous statistical development and consists of two steps. First, statistical features of tropospheric turbulence responsible for scintillation are extracted from the analysis of a large amount of radiosonde ascents. Second, long-term scintillation statistics are inferred from these turbulence characteristics, using the theory of propagation through a turbulent medium. The method is applied to a complete year of radiosonde data measured in Belgium and the predicted scintillation results are compared with measurements carried out on the same year near to the meteorological station. An agreement better than with any other usual prediction method is found. The method yields very accurate predictions of scintillation annual statistics and also adequately represents the seasonal and monthly variability of scintillation. Unlike the current prediction models, the proposed radiosonde-based method does not rest on empirical relationships derived from particular propagation experiments and could, therefore, be applied more widely
Keywords :
atmospheric turbulence; microwave propagation; radiosondes; refractive index; satellite links; scintillation; statistical analysis; tropospheric electromagnetic wave propagation; Belgium; annual statistics; long-term scintillation statistics; measurements; meteorological station; monthly variability; radiosonde ascents; radiosonde data; radiowave propagation; refractive index; satellite links; seasonal variability; slant paths; statistical features; tropospheric scintillation prediction; tropospheric turbulence; turbulent medium; Data mining; Frequency; Meteorology; Prediction methods; Predictive models; Refractive index; Satellite broadcasting; Satellite communication; Statistical distributions; Statistics;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/8.761069
Filename :
761069
Link To Document :
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