Reduction of the effects of non-stationarity in studies of amplitude statistics of radio wave backscatter |
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| Institution: | 1. University of Zagreb Faculty of Chemical Engineering and Technology, Trg Marka Marulića 19, HR-10000 Zagreb, Croatia;2. Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia;3. Institute of Physics, Bijenička cesta 46, HR-10000 Zagreb, Croatia;4. Josip Juraj Strossmayer University of Osijek, Trg Svetog Trojstva 3, HR-31000 Osijek, Croatia;1. Laboratoire de Physique des Matériaux, Faculté des Sciences de Sfax B.P. 1171, 3000 Sfax, Tunisia;2. Centre de Recherche Numérique Sfax, Cité El Ons, Route de Tunis, Km 9, Sfax, B.P. 275, Sakiet Ezzit, 3021 Sfax, Tunisia;3. Laboratoire des Sciences des Procédés et des Matériaux (LSPM-UPR 3407) CNRS, Université Paris XIII, Sorbonne Paris Cité, 99 Avenue J.-B. Clément, 93430 Villetaneuse, France;4. Laboratoire de Physique et d’Etude des Matériaux, LPEM (UPR A0005) CNRS, ESPCI ParisTech, 10 Rue Vauquelin, F-75231 Paris Cedex 5, France;1. Materials Science and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology, Trivandrum 695 019, India;2. Academy of Scientific and Innovative Research, CSIR- National Institute for Interdisciplinary Science and Technology, Trivandrum, India;3. Department of Physics, National Sun Yat-Sen University, Taiwan;4. Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom;1. Department of Physics, Manipal Institute of Technology, MAHE, Manipal, Karnataka 576104, India;2. UGC-DAE Consortium for Scientific Research, Mumbai Centre, BARC Campus, Trombay, Mumbai 400085, India;3. DST PURSE Program, Mangalore University, Mangalagangotri, Mangalore, Karnataka 574199, India;1. Materials Science and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology, Trivandrum, India;2. Academy of Scientific and Innovative Research (AcSIR), CSIR, Trivandrum, India |
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| 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. |
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