• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2016
    • vol. 4, nº 2, december 2016
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2016
    • vol. 4, nº 2, december 2016
    • Ver ítem

    Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks

    Autor: 
    Bacallao-Vidal, Jesús Concepción
    ;
    Machado-Fernández, José Raúl
    Fecha: 
    12/2016
    Palabra clave: 
    artificial neural networks; estimation; pareto distributed clutter; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11620
    DOI: 
    http://doi.org/10.9781/ijimai.2016.421
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2574
    Open Access
    Resumen:
    The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter measurements suggesting that it may provide a better fit than other traditional distributions. The authors propose a new method for estimating the Pareto shape parameter based on artificial neural networks. The solution achieves a precise estimation of the parameter, having a low computational cost, and outperforming the classic method which uses Maximum Likelihood Estimates (MLE). The presented scheme contributes to the development of the NATE detector for Pareto clutter, which uses the knowledge of clutter statistics for improving the stability of the detection, among other applications.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai20164_2_1_pdf_46986.pdf
    Tamaño: 747.9Kb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 4, nº 2, december 2016

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    37
    40
    1
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    31
    39
    0

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning 

      Machado Fernández, José Raúl; Bacallao Vidal, Jesús de la Concepción (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ...
    • CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter 

      Machado-Fernández, José Raúl; Bacallao-Vidal, Jesús Concepción; Torres Martinez, Shirley (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Oceanic and coastal radars operation is affected because the targets information is received mixed with and undesired contribution called sea clutter. Specifically, the popular CA-CFAR processor is incapable of maintaining ...
    • Identification of Altered Evoked and Non-Evoked Responses in a Heterologous Mouse Model of Endometriosis-Associated Pain 

      Tejada, Miguel A.; Santos-Llamas, Ana I.; Escriva, Lesley; Tarin, Juan J.; Cano, Antonio; Fernández-Ramírez, Maria J.; Nunez-Badinez, Paulina; De Leo, Bianca; Saunders, Philippa T. K.; Vidal, Victor (1); Barthas, Florent; Vincent, Katy; Sweeney, Patrick J.; Sillito, Rowland R.; Armstrong, James Douglas; Gómez, Raul (Biomedicines, 2022)
      The aim of this study was to develop and refine a heterologous mouse model of endometriosisassociated pain in which non-evoked responses, more relevant to the patient experience, were evaluated. Immunodeficient female ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioAutorización TFG-M

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja