High Resolution Demodulation of Fiber Bragg Grating via Computationally Efficient Levenberg Marquardt Method

Q: What type of study is this?

This is a Quantitative Study study.

Guangyin Zhang; Kehao Zhao; Qirui Wang; Guangqun Ma; Zekun Wu; Shuda Zhong; Kai Chen

doi:10.1364/cleo_at.2025.jps100_15

January 1, 2025

High Resolution Demodulation of Fiber Bragg Grating via Computationally Efficient Levenberg Marquardt Method

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Key Points

The LGLM algorithm significantly increases the precision of FBG demodulation, enhancing overall system performance.
With improvements over 11.6 times in range deviation, the method outperforms traditional fitting techniques.
The approach utilizes a computationally efficient logarithmic Gaussian model to optimize FBG analysis.
The findings indicate potential for advanced optical sensing technologies requiring improved stability.

Implication

This algorithm improves range deviation by over 11.6 times in fiber bragg grating systems, indicating enhanced stability.

Abstract

This paper introduces a computationally efficient Logarithmic Gaussian Levenberg-Marquardt (LGLM) algorithm for FBG demodulation, which significantly enhances system stability and improves range deviation by more than 11.6 times compared to traditional Gaussian fitting methods.

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Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68d464f131b076d99fa64532 https://doi.org/10.1364/cleo_at.2025.jps100_15

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High Resolution Demodulation of Fiber Bragg Grating via Computationally Efficient Levenberg Marquardt Method

Key Points

Implication

Abstract

Discussion

Cite This Study

High Resolution Demodulation of Fiber Bragg Grating via Computationally Efficient Levenberg Marquardt Method

Key Points

Implication

Abstract

Discussion

Cite This Study

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