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    科学领域:

    • 光纤传感传感器是指光纤传感器.
    • 信号处理 信号处理
    • 光子学 是一个光子学.

    背景情况:

    • 纤维布拉格格 (FBGs) 的传统多峰检测算法与噪声干扰作斗争,导致调节失败.
    • 准确的信号解调对于有效的准分布式传感网络至关重要.

    研究的目的:

    • 为FBG信号开发一个强大的,自适应的多峰检测算法.
    • 为了提高FBG解调的稳定性,速度和抗噪力.

    主要方法:

    • 信号规范化和波形变换 denoising 具有改进的值功能.
    • 使用希尔伯特变换和自适应值数学模型进行频谱细分.
    • 频谱扩展用于稳定的3dB带宽细分和布拉格波长提取.

    主要成果:

    • 拟议的算法有效地减少了FBG信号中的高频噪声.
    • 自适应的光谱细分显著提高了算法可移植性和解调稳定性.
    • 实验结果验证了增强的解调速度和精度.

    结论:

    • 自适应的多峰检测算法为FBG传感提供了精确和耐噪解决方案.
    • 这种方法通过改善信号调节来提高准分布式传感网络的可靠性.
    • 该算法在杂环境中处理复杂的多峰信号方面取得了重大进展.