A study of the VHF radar data via a random variance model

Physics

Scientific paper

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Atmospheric Scattering, Normal Density Functions, Radar Echoes, Random Variables, Very High Frequencies, Backscattering, Radar Data

Scientific paper

Data sets from some VHF radars have been analyzed. Gaussian distributions with random variance are proposed for the signal's quadrature components. The suggested distributions explain the data sets satisfactorily, especially as the length of the data series increases. Nonstationarity of the signals will also be interpreted using the proposed model. Moreover, a chi-squared-goodness of fit test for proposed model has been conducted and its results are persuasive. It is suggested that it is better to use the proposed distribution for the quadrature components than to use the Nakagami distribution for the amplitude distribution or the regular Gaussian distribution for the quadrature components. In addition, the sampling time should be less than 4 min to guarantee the stationarity of the data.

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