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Abstract-The paper introduces a statistical channel model
which is a combination of Rice and lognormal statistics, and is
suitable in principle to all types of environment (rural, suburban,
urban) simply by tuning the model parameters. The model
validity is confirmed by comparisons with measurement data
collected in the literature. Empirical formulas are derived for
the model parameters to fit measured data over a wide range
of elevation angles. In particular, the model is applied to nongeostationary
satellite channels, such as low-Earth orbit and
medium-Earth orbit channels, in which for a given user located
in a generic site the elevation angle changes continuously. Finally,
examples of average bit error probability evaluations in
the channel are provided.
which is a combination of Rice and lognormal statistics, and is
suitable in principle to all types of environment (rural, suburban,
urban) simply by tuning the model parameters. The model
validity is confirmed by comparisons with measurement data
collected in the literature. Empirical formulas are derived for
the model parameters to fit measured data over a wide range
of elevation angles. In particular, the model is applied to nongeostationary
satellite channels, such as low-Earth orbit and
medium-Earth orbit channels, in which for a given user located
in a generic site the elevation angle changes continuously. Finally,
examples of average bit error probability evaluations in
the channel are provided.
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A Statistics Model for Land Mobile Satellite Channels and Its Application to Nongeostationary Orbit Systems.pdf