An Improved SBR Method for Near‐Field Scattering of Electrically Large Objects.

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Title: An Improved SBR Method for Near‐Field Scattering of Electrically Large Objects.
Authors: Huo, Jincong1,2 (AUTHOR), Ma, Jie1,2 (AUTHOR) majie_xidian@163.com, Zhou, Shigang3 (AUTHOR), Li, Weishan1,2 (AUTHOR), Xiong, Xueyao1,2 (AUTHOR)
Source: Microwave & Optical Technology Letters. Jan2026, Vol. 68 Issue 1, p1-9. 9p.
Subjects: Ray tracing algorithms, Scattering (Physics), Mathematical optimization, Scattering (Mathematics), Dielectrics
Abstract: This work proposes an improved shooting and bouncing ray (SBR) method for calculating the near‐field scattering of electrically large objects. In near‐field calculations, there is a divergence problem in the ray tube of the SBR method, which exacerbates the splitting of the ray tube. The traditional near‐field SBR method suffers from accuracy loss, as the problem of ray tubes aperture divergence is only solved in first‐order scattering calculations and is ignored in higher‐order scattering calculations. This problem can be solved by dividing the ray tubes into denser ones, but this will reduce computational efficiency of the SBR method. This work proposes an adaptive tube subdivision method to control the ray tube aperture size and ensure ray tracing accuracy, which can effectively solve the problem of computational accuracy loss caused by tube divergence in near‐field calculations, while taking into account the computational efficiency. Several examples are designed to verify the effectiveness of the method. [ABSTRACT FROM AUTHOR]
Copyright of Microwave & Optical Technology Letters is the property of Wiley-Blackwell 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. (Copyright applies to all Abstracts.)
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  Data: An Improved SBR Method for Near‐Field Scattering of Electrically Large Objects.
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  Data: <searchLink fieldCode="AR" term="%22Huo%2C+Jincong%22">Huo, Jincong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Jie%22">Ma, Jie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> majie_xidian@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Shigang%22">Zhou, Shigang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Weishan%22">Li, Weishan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiong%2C+Xueyao%22">Xiong, Xueyao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Microwave+%26+Optical+Technology+Letters%22">Microwave & Optical Technology Letters</searchLink>. Jan2026, Vol. 68 Issue 1, p1-9. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Ray+tracing+algorithms%22">Ray tracing algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Scattering+%28Physics%29%22">Scattering (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Scattering+%28Mathematics%29%22">Scattering (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Dielectrics%22">Dielectrics</searchLink>
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  Label: Abstract
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  Data: This work proposes an improved shooting and bouncing ray (SBR) method for calculating the near‐field scattering of electrically large objects. In near‐field calculations, there is a divergence problem in the ray tube of the SBR method, which exacerbates the splitting of the ray tube. The traditional near‐field SBR method suffers from accuracy loss, as the problem of ray tubes aperture divergence is only solved in first‐order scattering calculations and is ignored in higher‐order scattering calculations. This problem can be solved by dividing the ray tubes into denser ones, but this will reduce computational efficiency of the SBR method. This work proposes an adaptive tube subdivision method to control the ray tube aperture size and ensure ray tracing accuracy, which can effectively solve the problem of computational accuracy loss caused by tube divergence in near‐field calculations, while taking into account the computational efficiency. Several examples are designed to verify the effectiveness of the method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Microwave & Optical Technology Letters is the property of Wiley-Blackwell 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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        Value: 10.1002/mop.70500
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
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    Subjects:
      – SubjectFull: Ray tracing algorithms
        Type: general
      – SubjectFull: Scattering (Physics)
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Scattering (Mathematics)
        Type: general
      – SubjectFull: Dielectrics
        Type: general
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      – TitleFull: An Improved SBR Method for Near‐Field Scattering of Electrically Large Objects.
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            NameFull: Huo, Jincong
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            NameFull: Ma, Jie
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            NameFull: Zhou, Shigang
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            NameFull: Li, Weishan
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            NameFull: Xiong, Xueyao
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              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 68
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