Reduction of the effects of non-stationarity in studies of amplitude statistics of radio wave backscatter

Abstract

By studying the statistics of fluctuations in amplitude of radio signals backscattered from the atmosphere and lower ionosphere, it is possible to obtain information about the scatterers. This procedure has been applied previously, but often relatively long data series have been used (e.g. 10–30 min) in order to produce reliable amplitude distributions. Unfortunately, the nature of the scatterers can often change considerably over such a time interval and this can distort the amplitude distributions. An alternative approach, applied in this work, is to use much shorter data sets, derive a parameter representative of each data set (e.g. the Rice parameter) and then examine the statistics of this derived parameter over a longer period. Computer modelling was used to examine the statistics of such a parameter and some surprising results emerged, even for relatively long data series. Several examples of the application of this new method will be presented.