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Rapid calculation of bistatic scattering problems based on bayesian compressive sensing.

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Title: Rapid calculation of bistatic scattering problems based on bayesian compressive sensing.
Authors: Wang, Zhonggen1 (AUTHOR), Sun, Longhui1 (AUTHOR) 15556361695@163.com, Nie, Wenyan2 (AUTHOR), Sun, Yufa3 (AUTHOR), Dong, Dai1 (AUTHOR), Liu, Yang1 (AUTHOR)
Source: Electromagnetics. 2025, Vol. 45 Issue 4, p320-333. 14p.
Subjects: Orthogonal matching pursuit, Characteristic functions, Numerical calculations, Algorithms
Abstract: In this paper, in order to accelerate the solution of the three-dimensional target scattering problems, bayesian compressive sensing (BCS) combined with high-order characteristic basis functions (HCBFs) is proposed. Unlike the traditional compressive sensing (CS) combined with CBFs method, the main improvements of our work are twofold: First, by utilizing HCBFs instead of traditional CBFs, not only the construction of the sparse basis is accelerated, but also the computational accuracy is improved. Second, comparing to CS using the orthogonal matching pursuit recovery algorithm, BCS requires fewer iterations and takes less time in recovering sparse signals. Numerical calculations show that the new method not only accelerates the solution time but also improves the computational accuracy. [ABSTRACT FROM AUTHOR]
Copyright of Electromagnetics is the property of Taylor & Francis Ltd 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: Rapid calculation of bistatic scattering problems based on bayesian compressive sensing.
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  Data: <searchLink fieldCode="JN" term="%22Electromagnetics%22">Electromagnetics</searchLink>. 2025, Vol. 45 Issue 4, p320-333. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Orthogonal+matching+pursuit%22">Orthogonal matching pursuit</searchLink><br /><searchLink fieldCode="DE" term="%22Characteristic+functions%22">Characteristic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+calculations%22">Numerical calculations</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, in order to accelerate the solution of the three-dimensional target scattering problems, bayesian compressive sensing (BCS) combined with high-order characteristic basis functions (HCBFs) is proposed. Unlike the traditional compressive sensing (CS) combined with CBFs method, the main improvements of our work are twofold: First, by utilizing HCBFs instead of traditional CBFs, not only the construction of the sparse basis is accelerated, but also the computational accuracy is improved. Second, comparing to CS using the orthogonal matching pursuit recovery algorithm, BCS requires fewer iterations and takes less time in recovering sparse signals. Numerical calculations show that the new method not only accelerates the solution time but also improves the computational accuracy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Electromagnetics is the property of Taylor & Francis Ltd 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: 10.1080/02726343.2025.2462925
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      – Code: eng
        Text: English
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        StartPage: 320
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      – SubjectFull: Characteristic functions
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      – SubjectFull: Numerical calculations
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      – SubjectFull: Algorithms
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      – TitleFull: Rapid calculation of bistatic scattering problems based on bayesian compressive sensing.
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            – D: 01
              M: 05
              Text: 2025
              Type: published
              Y: 2025
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