Journals / Turkish Journal of Electrical Engineering and Computer Science / 2014 / Cilt: 22 - Sayı: 4

Fuzzy logic approach to Henry factor for distributed feedback laser case

Pages
970–978
Publication Date
2014-04-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

For the Henry factor, the suggested method's approximation provides predictions within the accuracy level of 95%--99.99%.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, a simple approach for intelligent modeling of the Henry factor (a-alpha parameter, antiguiding factor, phase-amplitude coupling factor) or the so-called linewidth enhancement factor, which is an actual analysis and design parameter for semiconductor laser diodes and optical communication systems, is proposed based on the fuzzy logic (FL) phenomenon.
📊
Key Findings & Data:The proposed FL-based model easily computes the Henry factor in terms of different wavelengths and injection current levels (i.e. the inputs of the model).
💡
Conclusion & Impact:For the Henry factor, the suggested method's approximation provides predictions within the accuracy level of 95%--99.99%.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Linewidth enhancement factor · fuzzy logic · distributed feedback laser diode

Abstract

In this study, a simple approach for intelligent modeling of the Henry factor (a-alpha parameter, antiguiding factor, phase-amplitude coupling factor) or the so-called linewidth enhancement factor, which is an actual analysis and design parameter for semiconductor laser diodes and optical communication systems, is proposed based on the fuzzy logic (FL) phenomenon. The proposed FL-based model easily computes the Henry factor in terms of different wavelengths and injection current levels (i.e. the inputs of the model). The experimental data belong to a distributed feedback laser, obtained from amplified spontaneous emission spectra, which is among the techniques required for the characterization of semiconductor lasers. For the Henry factor, the suggested method's approximation provides predictions within the accuracy level of 95%--99.99%.

Özet

In this study, a simple approach for intelligent modeling of the Henry factor (a-alpha parameter, antiguiding factor, phase-amplitude coupling factor) or the so-called linewidth enhancement factor, which is an actual analysis and design parameter for semiconductor laser diodes and optical communication systems, is proposed based on the fuzzy logic (FL) phenomenon. The proposed FL-based model easily computes the Henry factor in terms of different wavelengths and injection current levels (i.e. the inputs of the model). The experimental data belong to a distributed feedback laser, obtained from amplified spontaneous emission spectra, which is among the techniques required for the characterization of semiconductor lasers. For the Henry factor, the suggested method's approximation provides predictions within the accuracy level of 95%--99.99%.

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Cite This Article

ÇAVUŞOĞLU, A. (2014). Fuzzy logic approach to Henry factor for distributed feedback laser case. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 22 - Sayı: 4, 970–978. https://ajindex.com/articles/188921

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References (7)

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