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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

43
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...
43
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

23
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...
23
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

18
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...
18
Errors in Global Positioning System01:26

Errors in Global Positioning System

26
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,...
26
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

39
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,...
39

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相关实验视频

Updated: May 23, 2025

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

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一种无设备的高精度室内定位和跟踪方法,基于GMM-WKNN算法.

Mumen Jiang1, Jiangnan Yuan2

  • 1School of Optoelectronic and Communication Engineering, Xiamen University of Technology, Xiamen, 361000, China.

Scientific reports
|May 21, 2025
PubMed
概括

本研究介绍了一种新的Wi-Fi通道状态信息 (CSI) 室内定位和跟踪算法. 该方法通过整合高斯混合模型 (GMM),加权K-最近邻居 (WKNN) 和卡尔曼过来提高准确度,以实现精确的被动跟踪.

科学领域:

  • 无线通信是一种无线通信.
  • 信号处理 信号处理
  • 室内定位是指室内定位.

背景情况:

  • 目前的室内定位和跟踪方法存在高度的部署复杂性和算法复杂性.
  • 在室内环境中需要准确和高效的被动跟踪解决方案.

研究的目的:

  • 开发基于Wi-Fi CSI的室内定位和跟踪算法,克服现有方法的局限性.
  • 通过集成的GMM,WKNN和卡尔曼过方法来提高跟踪准确度和降低复杂性.

主要方法:

  • 利用高斯混合模型 (GMM) 进行离线指纹数据库创建和在线频道状态信息 (CSI) 数据集群.
  • 基于分类的CSI数据进行初始轨迹估计的雇员加权K-最近邻居 (WKNN).
  • 应用卡尔曼过来改进轨迹估计和实现被动跟踪.

主要成果:

  • 该GMM有效地捕捉复杂的室内通道特征,提供显著的过和降低噪声.
  • 与传统方法和基于CNN的方法相比,提出的算法证明了跟踪精度的提高.
  • 成功地实现了室内个体的被动跟踪.

结论:

  • 集成的GMM-WKNN-Kalman过方法为基于Wi-Fi CSI的室内定位和跟踪提供了有效的解决方案.

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相关实验视频

Last Updated: May 23, 2025

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  • 这种方法为被动室内跟踪应用提供了更高的准确性和更低的复杂性.
  • 该算法的处理复杂通道特征的能力使其适用于各种室内环境.