A Simple Model of Atmospheric Radar Backscatter: Description
and Application to the Full Correlation Analysis of Spaced Sensor Data
D. A. Holdsworth and I. M. Reid
Abstract
The full spectral analysis (FSA) technique is investigated
using both experimental and model-generated data. The
relationship between the formulae presented by different
authors is discussed, and the similarities and differences
inherent in using these formulae are evaluated. The FSA is
applied both to sample spectra calculated using
individual time series records and to spectra produced by
the incoherent average of the sample spectra. The results
reveal that the velocities obtained using sample spectra
can be significantly biased in the situation where large
turbulent motions exist for two particular implementations
of the technique. These biases are shown to decrease as the
number of sample spectra used in the incoherent average are
increased, thereby producing FSA velocity estimates in
excellent agreement with those produced using the full
correlation analysis (FCA) technique.
Status
This paper has been published in Radio Science, 30(4), 1263-1280, 1995
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