Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters

Sea clutter is the main interfering signal in radar systems. In order to develop appropriate strategies for clutter suppression, an algorithm able to identify the distribution of radar readings becomes necessary. By using several popular methods found in the related literature, the authors design an...

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Autores principales: Gato Martínez, Ismary, Machado Fernández, José Raúl, Jiménez Álvarez, Mónica
Formato: Online
Lenguaje:eng
Publicado: Universidad de Costa Rica 2017
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Acceso en línea:https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/21518
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author Gato Martínez, Ismary
Machado Fernández, José Raúl
Jiménez Álvarez, Mónica
author_facet Gato Martínez, Ismary
Machado Fernández, José Raúl
Jiménez Álvarez, Mónica
author_sort Gato Martínez, Ismary
collection Revista Ingeniería (RI)
description Sea clutter is the main interfering signal in radar systems. In order to develop appropriate strategies for clutter suppression, an algorithm able to identify the distribution of radar readings becomes necessary. By using several popular methods found in the related literature, the authors design an algorithm able to identify the clutter distribution and its corresponding parameters. The proposed solution, which included the widely used maximum likelihood method and the Kolmogorov-Smirnov statistic test, was implemented in a software application with an intuitive graphical interface. As a result, a viable instance of the algorithm became available for educational and research purposes, particularly as a comparative base for estimating the effect of the size increase in the sample set when estimating the probability distribution.
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spelling INII-RI-article-215182020-08-11T16:04:19Z Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters Gato Martínez, Ismary Machado Fernández, José Raúl Jiménez Álvarez, Mónica sea clutter estimation of probability distributions Maximum Likelihood Kolmogorov-Smirnov Sea clutter is the main interfering signal in radar systems. In order to develop appropriate strategies for clutter suppression, an algorithm able to identify the distribution of radar readings becomes necessary. By using several popular methods found in the related literature, the authors design an algorithm able to identify the clutter distribution and its corresponding parameters. The proposed solution, which included the widely used maximum likelihood method and the Kolmogorov-Smirnov statistic test, was implemented in a software application with an intuitive graphical interface. As a result, a viable instance of the algorithm became available for educational and research purposes, particularly as a comparative base for estimating the effect of the size increase in the sample set when estimating the probability distribution. Universidad de Costa Rica 2017-01-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Article Artículo application/pdf https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/21518 10.15517/jte.v26i2.21518 Ingeniería; Vol. 26 No. 2 (2016): July-December 2016; 65-77 Ingeniería; Vol. 26 Núm. 2 (2016): Julio-Diciembre 2016; 65-77 Ingeniería; Vol. 26 N.º 2 (2016): Julio-Diciembre 2016; 65-77 2215-2652 1409-2441 eng https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/21518/27977 Derechos de autor 2017 José Raúl Machado Fernández, Ismary Gato Martínez
spellingShingle sea clutter
estimation of probability distributions
Maximum Likelihood
Kolmogorov-Smirnov
Gato Martínez, Ismary
Machado Fernández, José Raúl
Jiménez Álvarez, Mónica
Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
title Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
title_full Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
title_fullStr Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
title_full_unstemmed Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
title_short Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
title_sort implementation of an algorithm for the estimation of the sea clutter distribution and parameters
topic sea clutter
estimation of probability distributions
Maximum Likelihood
Kolmogorov-Smirnov
topic_facet sea clutter
estimation of probability distributions
Maximum Likelihood
Kolmogorov-Smirnov
url https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/21518
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