Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.2K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
1.2K
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

175
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...
175
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

99
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...
99
Errors in Global Positioning System01:26

Errors in Global Positioning System

119
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,...
119
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

128
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...
128
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

151
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,...
151

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Wi-Fi Indoor Positioning Method Based on an Integration of EMDT and WKNN.

Sensors (Basel, Switzerland)·2022
Same author

Adaptive Observer Based Fault Tolerant Control for Sensor and Actuator Faults in Wind Turbines.

Sensors (Basel, Switzerland)·2021
Same author

An RSS Transform-Based WKNN for Indoor Positioning.

Sensors (Basel, Switzerland)·2021
Same author

Three-Dimensional Wind Measurement Based on Ultrasonic Sensor Array and Multiple Signal Classification.

Sensors (Basel, Switzerland)·2020
Same author

Genome-Wide Association Studies of 39 Seed Yield-Related Traits in Sesame (<i>Sesamum indicum</i> L.).

International journal of molecular sciences·2018
Same author

Effects of Dapagliflozin on 24-Hour Glycemic Control in Patients with Type 2 Diabetes: A Randomized Controlled Trial.

Diabetes technology & therapeutics·2018

Related Experiment Video

Updated: Sep 20, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

Graph Optimization Model Fusing BLE Ranging with Wi-Fi Fingerprint for Indoor Positioning.

Rong Zhou1, Puchun Chen1, Jing Teng1

  • 1School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China.

Sensors (Basel, Switzerland)
|June 10, 2022
PubMed
Summary

This study introduces a graph optimization model fusing Wi-Fi fingerprinting and Bluetooth Low Energy (BLE) ranging to enhance indoor positioning accuracy. The novel approach improves upon existing Wi-Fi positioning algorithms, offering more precise location tracking.

Keywords:
BLE rangingWi-Fi fingerprintgraph optimizationindoor positioning

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.2K

Related Experiment Videos

Last Updated: Sep 20, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.2K

Area of Science:

  • Indoor Positioning Systems
  • Wireless Sensor Networks
  • Graph Theory

Background:

  • Wi-Fi fingerprinting is a common indoor positioning method.
  • Existing methods face challenges with accuracy and measurement errors.
  • Integrating multiple technologies can potentially improve positioning performance.

Purpose of the Study:

  • To develop a novel graph optimization model for improved indoor positioning accuracy.
  • To fuse Wi-Fi fingerprinting and Bluetooth Low Energy (BLE) ranging data.
  • To enhance the robustness of positioning against measurement errors.

Main Methods:

  • A graph optimization model using the g2o framework was proposed.
  • Wi-Fi fingerprinting and BLE ranging were fused within the model.
  • Nonlinear least-squares optimization, information matrix, Huber kernel, and Levenberg-Marquardt algorithm were employed.
  • Analysis of Huber threshold, node count, and node distribution impacts.

Main Results:

  • The proposed model significantly improved positioning accuracy for KNN, WKNN, GK, and Stg Wi-Fi algorithms.
  • The graph optimization approach effectively mitigated measurement errors.
  • Experimental analysis provided insights into parameter tuning for optimal performance.

Conclusions:

  • The fused Wi-Fi and BLE graph optimization model offers a superior solution for indoor positioning.
  • The method demonstrates enhanced accuracy and robustness compared to traditional Wi-Fi positioning.
  • Further research can explore additional sensor fusion and optimization techniques.