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相关概念视频

Application of Linearization and Approximation01:29

Application of Linearization and Approximation

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A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
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相关实验视频

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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
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基于移动时间窗口的实时NL UPD估计方法.

Siyao Wang1,2, Ju Hong3, Rui Tu4

  • 1National Time Service Center, Chinese Academy of Sciences, Xi'an, China.

Scientific reports
|March 3, 2025
PubMed
概括

本研究引入了一种实时方法,用于估计狭窄车道未校准相位延迟 (UPDs),使用精确点定位-模糊性解析 (PPP-AR) 中的滑动窗口. 这种方法提高了UPD的准确性,并提高了PPP-AR的性能.

关键词:
精确的点定位 - 模糊性解决方案 (PPP-AR)滑动时间窗口在UPD估计方法的估计方法.狭窄车道的未校准阶段延迟 (UPD)

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科学领域:

  • 地质测量和地质数学
  • 卫星导航系统 卫星导航系统

背景情况:

  • 精确点定位-模糊性解析 (PPP-AR) 依赖于对宽车道 (WL) 和窄车道 (NL) 未校准相位延迟 (UPD) 的准确估计.
  • 传统的NL UPD估计方法使用无离子层模两可,这些模两可被视为常数,导致UPD受到历史数据的影响,并掩盖实时变化.

研究的目的:

  • 开发和验证使用移动时间窗口对PPP-AR进行实时NL UPD估计方法.
  • 提高NL UPD的准确性,提高PPP-AR的性能.

主要方法:

  • 提出并实施了一种基于移动时间窗口的新型实时NL UPD估计方法.
  • 该方法在参考站的PPP计算过程中用于UPD估计.
  • 进行了严格的实验比较,以评估新方法的可靠性.

主要成果:

  • 与传统方法相比,拟议的滑窗方法产生了NL UPD,它比传统方法更准确地表示当前时代的真实值.
  • 在PPP-AR的成功固定率中观察到显著的改善.
  • 平均时间到第一次固定 (TTFF) 和PPP-AR的正确固定率显著提高.

结论:

  • 使用移动窗口的实时NL UPD估计方法有效地捕获了UPD的动态特性.
  • 这种增强的UPD估计显著提高了PPP-AR系统的整体性能和可靠性.