Localization of Small Objectives from Scattering Parameter via Bistatic Measurement Configuration.

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Title: Localization of Small Objectives from Scattering Parameter via Bistatic Measurement Configuration.
Authors: Son, Seong-Ho, Park, Won-Kwang
Source: Electronics (2079-9292); Oct2022, Vol. 11 Issue 19, p3054, 13p
Subject Terms: BESSEL functions, INTEGRAL functions, INTEGRAL equations, INTEGERS
Abstract: We develop a sampling-type algorithm for localizing a small object from scattering parameter data measured in a bistatic configuration. To this end, we design a sampling-type imaging function based on the integral equation formula for the scattering parameter. To clarify its applicability, we show that the imaging function can be expressed by the bistatic angle, antenna arrangement, and Bessel function of an integer order. This result reveals some properties of the imaging function and influence of the selection of the bistatic angle. Numerical experiments are carried out for single and multiple small and large objectives to illustrate the pros and cons of the developed algorithm. [ABSTRACT FROM AUTHOR]
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IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Localization of Small Objectives from Scattering Parameter via Bistatic Measurement Configuration.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Son%2C+Seong-Ho%22">Son, Seong-Ho</searchLink><br /><searchLink fieldCode="AR" term="%22Park%2C+Won-Kwang%22">Park, Won-Kwang</searchLink>
– Name: TitleSource
  Label: Source
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  Data: Electronics (2079-9292); Oct2022, Vol. 11 Issue 19, p3054, 13p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22BESSEL+functions%22">BESSEL functions</searchLink><br /><searchLink fieldCode="DE" term="%22INTEGRAL+functions%22">INTEGRAL functions</searchLink><br /><searchLink fieldCode="DE" term="%22INTEGRAL+equations%22">INTEGRAL equations</searchLink><br /><searchLink fieldCode="DE" term="%22INTEGERS%22">INTEGERS</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We develop a sampling-type algorithm for localizing a small object from scattering parameter data measured in a bistatic configuration. To this end, we design a sampling-type imaging function based on the integral equation formula for the scattering parameter. To clarify its applicability, we show that the imaging function can be expressed by the bistatic angle, antenna arrangement, and Bessel function of an integer order. This result reveals some properties of the imaging function and influence of the selection of the bistatic angle. Numerical experiments are carried out for single and multiple small and large objectives to illustrate the pros and cons of the developed algorithm. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Electronics (2079-9292) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.3390/electronics11193054
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 3054
    Subjects:
      – SubjectFull: BESSEL functions
        Type: general
      – SubjectFull: INTEGRAL functions
        Type: general
      – SubjectFull: INTEGRAL equations
        Type: general
      – SubjectFull: INTEGERS
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      – TitleFull: Localization of Small Objectives from Scattering Parameter via Bistatic Measurement Configuration.
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            NameFull: Son, Seong-Ho
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            NameFull: Park, Won-Kwang
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            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 19
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