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Electronic Data Center

Telecommunications and Radio Engineering

 

ISSN for PRINT: 0040-2508

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$4518.00

Issues per year:

20

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Best Paper Award Selection - Editorial Board Site

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2001, Volume56

Issue 6&7

  180 pages  

   

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Issue price - $394.00  

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  • Theoretical Aspects of Radar Imaging Using the Bayes Nonparametric Estimation Strategy
  • Yuriy V. Shkvarko, Ph.D., Dr. of Sciences, Professor
    Visiting professor in the FIMEE, University of Guanajuato, Mexico

    Rene Jaime-Rivas, M. Sc.
    Head of FIMEE at the University of Guanajuato, 36730 Salamanca, Gto. Mexico

    Victor Ayala-Ramirez, Ph.D.
    Universidad de Guanajuato FIMEE, Tampico 912, Colonia Bellavista, Salamanca, Guanajuato, 36730 MEXICO


    ABSTRACT

    In this work, we consider the theoretical aspects related to the problem of remote radar probing of the natural environment (in particular, Earth surfaces) with the purpose of electronic imaging. The problem is stated and treated as an inverse ill-posed problem of estimating the power scattering function (PSF) of the surface referred to as the radar image of the wavefield sources distributed in the environment. The randomized maximum entropy a priori model of the PSF is suggested and theoretically grounded. We derive the formula that is useful to interpret the information theoretical formalism of the randomized PSF. The Bayes non-parametrical estimation strategy is applied to form the radar images involving the maximum entropy a priori model of the PSF and projection-type constraints imposed on the desired solution. We also discuss the issues related to performance evaluation and computational implementation of the developed method.

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