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Wyszukujesz frazę "maximum likelihood estimators" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Evaluation of emitter location accuracy with the modified triangulation method by means of maximum likelihood estimators
Autorzy:
Matuszewski, Jan
Kraszewski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/2052134.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
emitter location
triangulation method
errors ellipse
maximum likelihood estimators
electronic warfare
Opis:
The determination of precise emitter location is a very important task in electronic intelligence systems. Its basic requirements include the detection of the emission of electromagnetic sources (emitters), measurement of signal parameters, determining the direction of emitters, signal analysis, and the recognition and identification of their sources. The article presents a new approach and algorithm for calculating the location of electromagnetic emission sources (radars) in a plane based on the bearings in the radio-electronic reconnaissance system. The main assumptions of this method are presented and described i.e. how the final mathematical formulas for calculating the emitter location were determined for any number of direction finders (DFs). As there is an unknown distance from the emitter to the DFs then in the final formulas it is stated how this distance should be calculated in the first iteration. Numerical simulation in MATLAB showed a quick convergence of the proposed algorithm to the fixed value in the fourth/fifth iteration with an accuracy less than 0.1 meter. The computed emitter location converges to the fixed value regardless of the choice of the starting point. It has also been shown that to precisely calculate the emitter position, at least a dozen or so bearings from each DFs should be measured. The obtained simulation results show that the precise emitter location depends on the number of DFs, the distances between the localized emitter and DFs, their mutual deployment, and bearing errors. The research results presented in the article show the usefulness of the tested method for the location of objects in a specific area of interest. The results of simulation calculations can be directly used in radio-electronic reconnaissance systems to select the place of DFs deployment to reduce the emitter location errors in the entire reconnaissance area.
Źródło:
Metrology and Measurement Systems; 2021, 28, 4; 781-802
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sample partitioning estimation for ergodic diffusions: application to Ornstein-Uhlenbeck diffusion
Autorzy:
Ramos, Luís
Powiązania:
https://bibliotekanauki.pl/articles/729918.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
ergodic diffusions
martingale estimating functions
transition and invariant densities
maximum likelihood estimators
Opis:
When a diffusion is ergodic its transition density converges to its invariant density, see Durrett (1998). This convergence enabled us to introduce a sample partitioning technique that gives in each sub-sample, maximum likelihood estimators. The averages of these being a natural choice as estimators. To compare our estimators with the optimal we obtained from martingale estimating functions, see Sørensen (1998), we used the Ornstein-Uhlenbeck process for which exact simulations can be carried out.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2010, 30, 1; 117-122
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Likelihood and parametric heteroscedasticity in normal connected linear models
Autorzy:
Mexia, Joao
Real, Pedro
Powiązania:
https://bibliotekanauki.pl/articles/729942.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
linear model
connected model
normal model
maximum likelihood estimators
score function
Newton-Raphson method
Opis:
A linear model in which the mean vector and covariance matrix depend on the same parameters is connected. Limit results for these models are presented. The characteristic function of the gradient of the score is obtained for normal connected models, thus, enabling the study of maximum likelihood estimators. A special case with diagonal covariance matrix is studied.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2000, 20, 2; 177-188
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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