Statistical modeling of the texture of sea clutter in Matlab

Context: The statistical modeling of the interference signal known as sea clutter is achieved assuming the input results from the combination of two components: one for the speckle and another for the texture. The Gamma distribution is the more widely applied for the texture component. Nevertheless,...

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Detalles Bibliográficos
Autores Principales: Machado Fernández, José Raúl, Pupo Hondal, Raiko Israel
Formato: Artículo (Article)
Lenguaje:Español (Spanish)
Publicado: Universidad Distrital Francisco José de Caldas. Colombia 2017
Materias:
Acceso en línea:http://hdl.handle.net/11349/21000
id ir-11349-21000
recordtype dspace
institution Universidad Distrital Francisco José de Caldas
collection DSpace
language Español (Spanish)
topic Statistical modeling
sea clutter
texture of the clutter
gamma distribution
inverse gamma distribution
inverse gaussian distribution
root-gamma distribution
Modelación estadística
clutter marino
textura del clutter
distribución gamma
distribución inversa gamma
distribución inversa gaussiana
distribución raíz gamma
spellingShingle Statistical modeling
sea clutter
texture of the clutter
gamma distribution
inverse gamma distribution
inverse gaussian distribution
root-gamma distribution
Modelación estadística
clutter marino
textura del clutter
distribución gamma
distribución inversa gamma
distribución inversa gaussiana
distribución raíz gamma
Machado Fernández, José Raúl
Pupo Hondal, Raiko Israel
Statistical modeling of the texture of sea clutter in Matlab
description Context: The statistical modeling of the interference signal known as sea clutter is achieved assuming the input results from the combination of two components: one for the speckle and another for the texture. The Gamma distribution is the more widely applied for the texture component. Nevertheless, several authors have defended the idea of using the Inverse Gamma and Inverse Gaussian instead.Method: In order to provide an easy access to the handling of the models and the execution of comparisons between them, the authors of the current paper simulated in MATLAB the main characteristics of these distributions. In addition, the Root-Gamma model was also included because it replaces the Gamma distribution when samples are processed in the amplitude domain. The applied method consisted in a deep bibliography review for finding the corresponding expressions for each simulated model; the method also included additional computational simulations that allowed to identify occasional errors that were committed by different authors when characterizing the models.Results: A small framework was created for stochastic simulation containing density and distribution functions, mechanisms for random variable generation, parameter estimation methods and statistical moment closed expressions, among others. Besides, complementary functions were prepared for guaranteeing the validation by comparison with results provided by third parties and through the interaction between the different components of the library.Conclusions: The created library enables the use of multiple distributions for the modeling of the electromagnetic echo received from the sea surface. This will certainly motivate the creation of new radar detectors adapted to heterogeneous conditions such as the ones existing in Cuban coastal regions, where one may find different depth levels, mangrove swamps, brackish water, islets, prominent aquatic vegetation, among others.
format Artículo (Article)
author Machado Fernández, José Raúl
Pupo Hondal, Raiko Israel
author_facet Machado Fernández, José Raúl
Pupo Hondal, Raiko Israel
author_sort Machado Fernández, José Raúl
title Statistical modeling of the texture of sea clutter in Matlab
title_short Statistical modeling of the texture of sea clutter in Matlab
title_full Statistical modeling of the texture of sea clutter in Matlab
title_fullStr Statistical modeling of the texture of sea clutter in Matlab
title_full_unstemmed Statistical modeling of the texture of sea clutter in Matlab
title_sort statistical modeling of the texture of sea clutter in matlab
publisher Universidad Distrital Francisco José de Caldas. Colombia
publishDate 2017
url http://hdl.handle.net/11349/21000
_version_ 1712444284490219520
spelling ir-11349-210002019-09-19T21:45:13Z Statistical modeling of the texture of sea clutter in Matlab Modelación estadística de la textura del clutter marino en Matlab Machado Fernández, José Raúl Pupo Hondal, Raiko Israel Statistical modeling sea clutter texture of the clutter gamma distribution inverse gamma distribution inverse gaussian distribution root-gamma distribution Modelación estadística clutter marino textura del clutter distribución gamma distribución inversa gamma distribución inversa gaussiana distribución raíz gamma Context: The statistical modeling of the interference signal known as sea clutter is achieved assuming the input results from the combination of two components: one for the speckle and another for the texture. The Gamma distribution is the more widely applied for the texture component. Nevertheless, several authors have defended the idea of using the Inverse Gamma and Inverse Gaussian instead.Method: In order to provide an easy access to the handling of the models and the execution of comparisons between them, the authors of the current paper simulated in MATLAB the main characteristics of these distributions. In addition, the Root-Gamma model was also included because it replaces the Gamma distribution when samples are processed in the amplitude domain. The applied method consisted in a deep bibliography review for finding the corresponding expressions for each simulated model; the method also included additional computational simulations that allowed to identify occasional errors that were committed by different authors when characterizing the models.Results: A small framework was created for stochastic simulation containing density and distribution functions, mechanisms for random variable generation, parameter estimation methods and statistical moment closed expressions, among others. Besides, complementary functions were prepared for guaranteeing the validation by comparison with results provided by third parties and through the interaction between the different components of the library.Conclusions: The created library enables the use of multiple distributions for the modeling of the electromagnetic echo received from the sea surface. This will certainly motivate the creation of new radar detectors adapted to heterogeneous conditions such as the ones existing in Cuban coastal regions, where one may find different depth levels, mangrove swamps, brackish water, islets, prominent aquatic vegetation, among others. Contexto: La modelación estadística de la señal interferente conocida como clutter marino se efectúa a través de dos componentes: uno de capilaridad y otro de textura. La distribución más utilizada para la textura es la gamma. No obstante, varios autores han defendido el uso alternativo de la inversa gamma y la inversa gaussiana.Método: Con el objetivo de brindar un acceso fácil a la manipulación de los modelos y a la realización de comparaciones entre ellos, los autores del presente artículo simularon en Matlab las características principales de estas tres distribuciones. Adicionalmente, se agregó la distribución raíz gamma que sustituye a la gamma cuando se trabaja con muestras de amplitud. El método aplicado consistió en la revisión bibliográfica para encontrar las expresiones de cada uno de los parámetros modelados, y la posterior simulación computacional que permitió detectar errores ocasionales que surgen al consultar diferentes estudios.Resultados: Se creó una pequeña librería de simulación estocástica que incluye funciones de densidad y distribución, generación de variables aleatorias, estimación de parámetros y cálculo de momentos estadísticos, entre otros. Además, se elaboraron funciones informáticas complementarias que permitieron la validación por comparación con resultados dados por terceros y mediante la interacción de los diferentes componentes de la librería.Conclusiones: La librería creada habilita el uso de múltiples distribuciones, para la modelación del eco electromagnético de la superficie marina. Esto permitirá generar nuevos detectores de radar que se adapten a condiciones heterogéneas como las encontradas en las costas cubanas, donde alternan distintos niveles de profundidad, manglares, aguas salobres, islotes, vegetación acuática prominente, entre otras. 2017-10-01 2019-09-19T21:45:13Z 2019-09-19T21:45:13Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11708 10.14483/22487638.11708 http://hdl.handle.net/11349/21000 spa https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11708/13475 https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/11708/13598 Derechos de autor 2018 Revista Tecnura application/pdf application/xml Universidad Distrital Francisco José de Caldas. Colombia Tecnura Journal; Vol 21 No 54 (2017): October - December; 13-32 Tecnura; Vol. 21 Núm. 54 (2017): Octubre - Diciembre; 13-32 2248-7638 0123-921X
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