Novel measurement-based efficient computational approach to modeling optical power transmission in step-index polymer optical fiber
Resumen: Polymer optical fibers (POFs) are playing an important role in industrial applications nowadays due to their ease of handling and resilience to bending and environmental effects. A POF can tolerate a bending radius of less than 20 mm, it can work in environments with temperatures ranging from -55¿ C to +105¿ C, and its lifetime is around 20 years. In this paper, we propose a novel, rigorous, and efficient computational model to estimate the most important parameters that determine the characteristics of light propagation through a step-index polymer optical fiber (SIPOF). The model uses attenuation, diffusion, and mode group delay as functions of the propagation angle to characterize the optical power transmission in the SI-POF. Taking into consideration the mode group delay allows us to generalize the computational model to be applicable to POFs with different index profiles. In particular, we use experimental measurements of spatial distributions and frequency responses to derive accurate parameters for our SI-POF simulation model. The experimental data were measured at different fiber lengths according to the cut-back method. This method consists of taking several measurements such as frequency responses, angular intensity distributions, and optical power measurements over a long length of fiber (>100 m), then cutting back the fiber while maintaining the same launching conditions and repeating the measurements on the shorter lengths of fiber. The model derivation uses an objective function to minimize the differences between the experimental measurements and the simulated results. The use of the matrix exponential method (MEM) to implement the SI-POF model results in a computationally efficient model that is suitable for POF-based system-level studies. The efficiency gain is due to the independence of the calculation time with respect to the fiber length, in contrast to the classic analytical solutions of the time-dependent power flow equation. The robustness of the proposed model is validated by calculating the goodness-of-fit of the model predictions relative to experimental data. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Idioma: Inglés
DOI: 10.3390/photonics9040260
Año: 2022
Publicado en: Photonics 9, 4 (2022), 260 [15 pp.]
ISSN: 2304-6732

Factor impacto JCR: 2.4 (2022)
Categ. JCR: OPTICS rank: 56 / 99 = 0.566 (2022) - Q3 - T2
Factor impacto CITESCORE: 2.3 - Medicine (Q3) - Physics and Astronomy (Q3)

Factor impacto SCIMAGO: 0.479 - Atomic and Molecular Physics, and Optics (Q2) - Radiology, Nuclear Medicine and Imaging (Q2) - Instrumentation (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T20-17R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094669-B-C33
Tipo y forma: Article (Published version)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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Articles > Artículos por área > Teoría de la Señal y Comunicaciones



 Record created 2022-06-21, last modified 2024-03-19


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