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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

283
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...
283
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

357
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...
357
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

307
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...
307
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

424
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,...
424
Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

9.4K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Time-Series Graph00:54

Time-Series Graph

5.0K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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相关实验视频

Updated: Jan 7, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

8.1K

无线网络RSS和RTT室内定位与图形时间卷积网络.

Lila Rana1, Aayush Dulal2

  • 1Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括

本研究介绍了一种混合图形-时间卷积网络 (GTCN),用于使用WiFi信号准确的室内定位. 通过结合接入点几何和时间信号动态,GTCN模型可以实现高精度,即使在具有挑战性的非视线条件下也是如此.

科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 室内定位系统 (IPS) 对各种应用至关重要.
  • 通过商品WiFi实现次米准确度受到多路径色和非视线传播 (NLOS) 的阻碍.
  • 现有的方法与多样化的室内布局和动态环境作斗争.

研究的目的:

  • 开发一种新的混合图形-时间卷积网络 (GTCN),用于高精度的室内定位.
  • 通过共同利用WiFi接收信号强度 (RSS) 和往返时间 (RTT) 功能来提高稳定性.
  • 创建一个计算效率高的模型,适合在边缘设备上实时部署.

主要方法:

  • 提出了一种混合GTCN模型,集成了访问点 (AP) 几何学的图形卷积和信号动态的扩展时间卷积网络.
  • 实施了一个轻量级的门机制,以适应每个AP的重要性学习.
  • 在各种室内环境中使用WiFi RSS和RTT测量对模型进行了评估.

主要成果:

  • GTCN模型在演讲厅,办公室,走廊和建筑楼层展示了高定位精度.
  • 随着AP密度的增加,定位精度得到了提高,特别是在视线 (LOS) 和NLOS条件下的大规模混合环境中.
关键词:
图形卷积网络的图形卷积网络.时间卷积网络的时间卷积网络无线网络 RSS 和 RTT.无线网络室内定位器

相关实验视频

Last Updated: Jan 7, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

8.1K
  • 该模型每次推断需要少于105个可训练的参数和数十个MFLOP,从而实现实时性能.
  • 结论:

    • 拟议的GTCN模型为使用商品WiFi的室内定位提供了强大而准确的解决方案.
    • 混合方法有效地解决了多路径色和NLOS效应带来的挑战.
    • 该模型的计算效率使其适用于嵌入式和边缘计算平台上的实时应用.