基于光纤陀螺仪的管道提升惯性引导系统的CEEMDAN-LWT减噪方法
Yutong Zu1,2,3, Lu Wang1,2,3, Yuanbiao Hu1
1School of Engineering and Technology, China University of Geosciences, Beijing 100083, China.
Sensors (Basel, Switzerland)
|February 24, 2024
概括
一种新的混合降噪方法,将完整集体实证模式分解与自适应噪声 (CEEMDAN) 和升起波形转换 (LWT) 结合起来,有效地降低了用于管道提升的光纤陀螺仪信号中的噪声. 这种方法通过抑制环境干扰,显著提高了导航准确性.
科学领域:
- 地质技术工程 地质技术工程
- 信号处理 信号处理
- 导航系统 导航系统
背景情况:
- 长距离的曲线管道提升依赖于惯性引导系统,通常使用光纤陀螺仪 (FOG).
- 诸如振动,电磁和温度等环境因素将大量的随机噪声引入FOG信号中,降低引导准确度.
- 有效的降噪对于基于FOG的可靠的管道提升指导至关重要.
研究的目的:
- 为光纤陀螺仪 (FOG) 信号提出并验证用于管道提升的混合降噪方法.
- 通过减轻环境噪声,提高惯性引导系统的准确性和可靠性.
- 为了提高管道提升态度角度 (斜率,滚动,方向) 的测量精度.
主要方法:
- 引入了一种称为CEEMDAN-LWT (完整集体实证模式分解与自适应噪声 - 升起波形转换) 的混合降噪方法.
- 使用CEEMDAN分解FOG信号以获得内在模式函数 (IMF),根据相关系数选择相关组件.
- 高频IMF进一步使用LWT进行处理以提高分辨率,然后进行软门消除噪音和信号重建.
主要成果:
- 与独立的CEEMDAN或LWT相比,CEEMDAN-LWT方法的降噪性能优越,通过改进的SNR,RMSE和偏差指标证明了这一点.
- 试验验证的管道提升动态和环境干扰测试证实了该方法的有效性和适应性.
- 导航准确性得到了显著的改善,斜率,滚动和方向角的绝对误差分别减少了39.86%,59.45%和14.29%.
结论:
- CEEMDAN-LWT混合降噪方法有效地抑制了由环境干扰引起的FOG信号中的随机错误.
- 这种技术大大提高了管道提升态度的测量精度,这对于在复杂的地下环境中精确指导至关重要.
- 拟议的方法为提高惯性引导系统在苛刻的土木工程应用中的性能提供了可靠的解决方案.
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