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Solving the inverse scattering problem with differential evolution: an experimental validation

Lucas H. Negri et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo

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Author / responsible party
Lucas H. Negri et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
ISSN
2179-1074
ISSN
2179-1074
Language
English

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Abstract This work shows the experimental validation of a method developed for determining the strain profile applied to a fiber Bragg grating by solving the inverse scattering problem. The non-uniform strain profile is recovered by formulating an optimization problem, solved with an algorithm based on differential evolution. The method has proved to be able of recovering the shape and approximate amplitude of the actual strain profile applied to the FBG, opening new perspectives for optical sensing with fiber Bragg gratings.

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APA 7

al, L. H. N. E. (s. f.). Solving the inverse scattering problem with differential evolution: an experimental validation. https://doi.org/10.1590/2179-10742018v17i21273

MLA

al, Lucas H. Negri et. "Solving the inverse scattering problem with differential evolution: an experimental validation.". https://doi.org/10.1590/2179-10742018v17i21273.

Chicago

al, Lucas H. Negri et. s. f. "Solving the inverse scattering problem with differential evolution: an experimental validation.". https://doi.org/10.1590/2179-10742018v17i21273.

Harvard

al, L. H. N. E. s. f, Solving the inverse scattering problem with differential evolution: an experimental validation, Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo, available at: https://doi.org/10.1590/2179-10742018v17i21273 [Accessed 9 Aug. 2026].

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Title
Solving the inverse scattering problem with differential evolution: an experimental validation
Author / contributors
Lucas H. Negri et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
ISSN
2179-1074
ISSN
2179-1074
Language
English

Subjects

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Computational Intelligence; Differential Evolution; Fiber Bragg Gratings; Optical Sensors; Strain Sensing
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