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相关实验视频

Updated: Jul 4, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

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改进了光纤干涉计传感器的PGC解调算法.

Mingda Zhu, Xinxin Wang, Jiaying Chang

    Optics express
    |February 1, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种改进的阶段生成载体干脱模算法 (PGC-Arctan-HP),可以提高干扰度测量的准确性. 新方法有效地减少了因调制深度转移和光强度干扰引起的误差.

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 信号处理 信号处理

    背景情况:

    • 干涉测量测量容易受到各种干扰.
    • 现有的解调算法经常与调制深度转移,载体相延迟和光强度干扰 (LID) 斗争.

    研究的目的:

    • 提出和验证一个改进的阶段生成载体干脱模算法 (PGC-Arctan-HP).
    • 为了消除调制深度转移,载体相延迟和LID对调制结果的影响.

    主要方法:

    • 开发PGC-Arctan-HP算法,集成波混合和相方程技术.
    • 通过模拟和实验干涉测量进行比较分析.

    主要成果:

    • 模拟结果与理论预测一致,比其他算法表现出更高的性能.
    • 实验验证显示稳定的模拟波形具有0.0294%的低振幅误差.
    • 实现了极好的信号质量,总波扭曲率 (THD) 为-60.0286dB,信号对噪声和扭曲率 (SINAD) 为59.5388dB.

    结论:

    • PGC-Arctan-HP算法为干扰度应用提供了最佳的解调性能.
    • 该算法有效地减轻了常见的错误来源,从而实现了高度准确和稳定的测量.

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