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Wyświetlanie 1-2 z 2
Tytuł:
Simplified model for calculation of clutters caused by wind turbines
Autorzy:
Dziewit, Z.
Bucki, B.
Powiązania:
https://bibliotekanauki.pl/articles/108443.pdf
Data publikacji:
2017
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
clutter model
weather radar
wind turbine
RCS
radar reflectivity
wind farm
planning
Opis:
metallic parts. Based on the assumption that only moving, metallic parts of a turbine cause echoes indelible by standard filtering used in radar signal preprocessing, a method of preliminary evaluation of such maximum potential clutters was developed. The method takes into account how great a part of a turbine is really illuminated by a radar beam and for this part calculates a RCS (Radar Cross Section) and its equivalent radar reflectivity. A very detailed description of the model is given in this article in order for it to be easy to implement in any calculation system. Discussion of the influence of the main simplifications assumed in this model, as well as a comparison of the theoretical results with example data in operational mode of radar work, are included in this article.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2017, 5, 2; 3-12
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling and Parameter Estimation of Radar Sea-Clutter with Trimodal Gamma Population
Autorzy:
Terki, Zakia
Mezache, Amar
Chebbara, Fouad
Powiązania:
https://bibliotekanauki.pl/articles/2142297.pdf
Data publikacji:
2022
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
CCDF
estimation
least squares
MLE
modeling
trimodal Gamma model
zlog(z)
Opis:
Real radar data often consist of a mixture of Gaussian and non-Gaussian clutter. Such a situation creates one or more inflexion points in the curve of the empirical cumulative distributed function (CDF). In order to obtain an accurate fit with sea reverberation data, we propose, in this paper, a trimodal gamma disturbance model and two parameter estimators. The non-linear least-squares (NLS) fit approach is used to avoid computational issues associated with the maximum likelihood estimator (MLE) and moments-based estimator for parameters of the mixture model. For this purpose, a combination of moment fit and complementary CDF (CCDF) NLS fit methods is proposed. The simplex minimization algorithm is used to simultaneously obtain all parameters of the model. In the case of a single gamma probability density function, a zlog(z) method is derived. Firstly, simulated life tests based on a gamma population with different shape parameter values are worked out. Then, numerical illustrations show that both MLE and zlog(z) methods produce closer results. The proposed trimodal gamma distribution with moments NLS fit and CCDF NLS fit estimators is validated to be in qualitative agreement with different cell resolutions of the available IPIX database.
Źródło:
Journal of Telecommunications and Information Technology; 2022, 2; 82--90
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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