Development Of Rain And Scintillation Models At Ku-Sand In Southeast Asia Tropical Countries
A two year rainfall rate, attenuation and scintillation measurement was conducted in Southeast Asia Tropical countries (USM, KMITL,USP, AdMU and ITB). The data obtained are useful to investigate the impairment due to rainfall in satellite links operating in tropical and equatorial climates. The c...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2006
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| 主題: | |
| 在線閱讀: | http://eprints.usm.my/56577/1/Mandeep%20Singh%2000001648352.pdf |
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| 總結: | A two year rainfall rate, attenuation and scintillation measurement was conducted in
Southeast Asia Tropical countries (USM, KMITL,USP, AdMU and ITB). The data
obtained are useful to investigate the impairment due to rainfall in satellite links
operating in tropical and equatorial climates. The cumulative distributions of rainfall
rate, attenuation and scintillation derived from the measured data are presented and
compared with those obtained with existing prediction models. Existing model for
prediction of slant-path have not shown good agreement with available experimental
data, confirming the need of suitable models for tropical region. Results were analysed
in order to understand the potentials and the limits of each prediction model. Based on
the limitations of the existing models, 1-minute rainfall rate and attenuation prediction
model was developed from the knowledge of the ground point rainfall rate and
attenuation cumulative distribution representative of the area where the earth station is
located. Comparison between predicted and experimental results has shown significant
improvements in terms of reduced prediction error over existing models. The proposed
models were also used for prediction against the measured data from different location
such as Brazil, Singapore and Papua New Guinea. The proposed model gave a good
representation of cumulative distribution with an overall low rms for measurement sites
and the three different locations mentioned above. The agreement with the measured
data was found to be mainly dependent on the proper parameterization of the proposed
models to the radiometeorological variables along the satellite link. Therefore, it can be
concluded that the proposed models has high prediction accuracy for the whole
cumulative distribution of rainfall and scintillation data. |
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