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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
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相关实验视频

Updated: Jan 11, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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在工作坊场景中对UWB进行NLOS识别和错误补偿方法.

Yu Su1, Quan Yu1, Xiaohao Xia1

  • 1Zhoushan COSCO Shipping Heavy Industry Co., Zhoushan 316100, China.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了快速非视线 (NLOS) 识别方法和距离错误补偿方法,用于制造车间的精确定位. 新方法显著提高了距离精度,提高了安全性和效率.

关键词:
在NLOS的识别.在UWB中,UWB是UWB.适应性扩展的卡尔曼波器过器错误补偿 错误补偿 错误补偿 错误补偿最大的概率估计估计.

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科学领域:

  • 机器人和自动化 机器人和自动化
  • 传感器融合式传感器
  • 信号处理 信号处理

背景情况:

  • 制造车间的定位不确定性,通常是由非视线 (NLOS) 干扰引起的,导致频繁的安全事故.
  • 现有的NLOS识别和距离错误补偿方法对于复杂的工业环境是不够的.

研究的目的:

  • 为复杂的制造车间场景开发高精度距离测量和定位系统.
  • 为了减轻与工业环境中的定位不确定性相关的安全风险.

主要方法:

  • 对常见的NLOS识别技术的分析.
  • 关于一种快速NLOS识别方法的建议,该方法将接收的信号能量和范围残留物结合起来.
  • 设计一个使用最大概率估计和自适应扩展卡尔曼过的范围错误补偿方法.

主要成果:

  • 拟议的NLOS识别和范围错误补偿方法的实验验证.
  • 与传统方法相比,范围精度显著提高.
  • 与传统的卡尔曼过算法相比,它具有显著的优势.

结论:

  • 开发的方法有效地解决了复杂的车间环境中的NLOS干扰.
  • 拟议的方法提高了范围的准确性,有助于提高工业安全和运营效率.
  • 这项工作为在具有挑战性的制造环境中高精度定位提供了强大的解决方案.