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相关实验视频

Updated: Jun 11, 2025

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CEEMDAN 组合波幅无声化改进了MW周期滑动检测算法.

Yingxiang Jiao1, Kezhao Li2,3, Zhe Yue1

  • 1School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China.

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|October 8, 2024
PubMed
概括

这项研究引入了一种改进的方法来检测导航数据中的循环滑动,减少噪音干扰. 新方法提高了准确性,避免了错误检测,提高了定位可靠性.

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科学领域:

  • 地理学工程 工程地质学
  • 信号处理 信号处理

背景情况:

  • 在高精度导航中检测循环滑动的标准MW组合方法易受伪范围噪声的影响.
  • 这种噪音导致错过的小周期滑动和检测失败后的值分歧.

研究的目的:

  • 开发一种改进的MW组合周期滑动检测方法.
  • 为了减轻伪色噪声的影响,并提高检测准确度.

主要方法:

  • 使用完整集体实证模式分解 (CEEMDAN) 来分解信号.
  • 采用排列来选择内在模式函数 (IMFs) 进行denoising.
  • 应用波纹无噪声来进一步消除剩余噪声.

主要成果:

  • 改进的方法显著减少了伪色噪声的影响.
  • 错误检测率从1.6%降至0% (对于6-0%的失误).
  • 在复杂的噪音环境中成功检测出小周期差.

结论:

  • 提出的方法有效地克服了原来的MW算法的局限性.
  • 它在具有挑战性的条件下提高了循环滑动检测的可靠性.
  • 避免错过的检测和随后的值分歧问题.