A study of the VHF radar data via a random variance model |
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| Institution: | 1. Graduate Institute of Statistics, National Central University, Chung-Li, Taiwan, R.O.C.;2. Department of Physics, National Central University, Chung-Li, Taiwan, R.O.C.;1. Department of Geomatics Engineering, Kocaeli University, Kocaeli, Turkey;2. Department of Mathematics and Computing, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India;3. Quantectum d.o.o, Dunajska cesta 156, WTC, Ljubljana, Slovenia;1. Department of Natural History Sciences, Hokkaido University, N10, W8, Kita-ku, Sapporo 060 0810, Japan;2. Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, Japan;3. Geomatics Engineering Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia;4. Badan Informasi Geospasial, Jl. Raya Jakarta, Bogor KM. 46, Cibinong, Jawa Barat, Indonesia;1. School of Software, Nanjing University of Information Science & Technology, Nanjing 210044, China;2. Wuxi Research Institute of Nanjing Information Engineering University, Wuxi 214100, China;3. School of Remote Sensing and Mapping, Nanjing University of Information Science & Technology, Nanjing 210044, China |
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| Abstract: | Data sets from some VHF radars have been analysed. 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. Non-stationarity of the signals will also be interpreted using the proposed model. Moreover, a χ2-goodness of fit test for the proposed model has been conducted and its results are persuasive. We suggest 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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