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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

44
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,...
44
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

55
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
55
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

42
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
42
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

27
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
27
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

55
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
55
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

63
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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相关实验视频

Updated: Jun 25, 2025

Picometer-Precision Atomic Position Tracking through Electron Microscopy
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一种基于机器学习的热层预测方法,用于高精度实时GNSS定位.

Jianping Chen1, Yang Gao1

  • 1Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括
此摘要是机器生成的。

一种新的机器学习方法可以实时预测全球导航卫星系统 (GNSS) 应用的热层错误. 这种方法克服了现有数据的延迟问题,实现了高精度的精确定位.

关键词:
美国 美国 美国 美国 美国这是LSTM的LSTM.深度学习是一种深度学习.机器学习是机器学习.神经网络的神经网络的神经网络热带大气层预测预测

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相关实验视频

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科学领域:

  • 地质测量和地质数学
  • 大气科学 大气科学
  • 机器学习应用 机器学习应用

背景情况:

  • 热带层的错误对全球导航卫星系统 (GNSS) 的高精度定位产生了重大影响,达到米.
  • 目前的实时热带层校正服务的区域可用性有限.
  • 国际GNSS服务 (IGS) 的现有任务后数据的延迟时间为1-2周,不适合实时使用.

研究的目的:

  • 为GNSS应用开发一个实时热层预测方法.
  • 为了克服当前热层校正数据的延迟限制.
  • 通过减轻实时热层误差,实现高精度定位.

主要方法:

  • 开发了一个实时热层预测模型,利用机器学习技术.
  • 杆国际GNSS服务 (IGS) 后处理产品作为输入数据.
  • 使用一年长的数据集验证了预测方法.

主要成果:

  • 取得了2厘米的根平均平方误差 (RMSE) 对于热层预测.
  • 证明了开发的方法对实时应用的适用性.
  • 成功地消除了与传统的任务后数据相关的长延迟.

结论:

  • 拟议的基于机器学习的方法为GNSS提供了准确的实时热层预测.
  • 这一进步通过解决一个关键的错误源来支持高精度定位应用程序.
  • 该方法为现有服务提供了可行的替代方案,其覆盖范围有限或延迟高.