Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Errors in Global Positioning System

Errors in Global Positioning System

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,...

Field Application of Global Positioning System

Field Application of Global Positioning System

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...

Types of Global Positioning System Surveys

Types of Global Positioning System Surveys

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...

Introduction to Global Positioning System

Introduction to Global Positioning System

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,...

One-Degree-of-Freedom System

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...

Azimuths and Bearings

Azimuths and Bearings

Azimuths and bearings are essential concepts in surveying, providing methods to express the direction of a line relative to a meridian. Azimuths refer to the clockwise angle measured from the north end of a reference meridian to the given line, ranging from zero to 360 degrees. This method gives a comprehensive directional reference within a full 360-degree circle, making it a straightforward way to communicate direction in various fields, including navigation, cartography, and...

You might also read

Related Articles

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

Sort by

Same author

Research on Environmental Risk Monitoring and Advance Warning Technologies of Power Transmission and Distribution Projects Construction Phase.

Sensors (Basel, Switzerland)·2024

Same author

Snowy Dove: An open-sourcetoolkit for pre- processing of Chinese Gaofen series data.

PloS one·2024

Same author

Frequency distribution-aware network based on discrete cosine transformation (DCT) for remote sensing image super resolution.

PeerJ. Computer science·2024

Same author

Flare Removal Model Based on Sparse-UFormer Networks.

Entropy (Basel, Switzerland)·2024

Same author

Investigating spatio-temporal variations and contributing factors of land use-related carbon emissions in the Beijing-Tianjin-Hebei Region, China.

Scientific reports·2024

Same author

Hyperspectral Characteristics and SPAD Estimation of Wheat Leaves under CO<sub>2</sub> Microleakage Stress.

Sensors (Basel, Switzerland)·2024

Search research articles

Related Experiment Video

Updated: Oct 30, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Robustly Adaptive EKF PDR/UWB Integrated Navigation Based on Additional Heading Constraint.

Debao Yuan¹, Jian Zhang¹, Jian Wang²

¹School of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing (CUMTB), Beijing 100083, China.

Sensors (Basel, Switzerland)

|July 2, 2021

Summary

This summary is machine-generated.

This study introduces an integrated Pedestrian Dead Reckoning (PDR) and Ultra Wide Band (UWB) navigation algorithm. It enhances indoor positioning accuracy by adaptively mitigating errors from both PDR and UWB systems.

Keywords:

PDR/UWB adaptively robust EKF heading constraints indoor positioning loose combination

More Related Videos

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Related Experiment Videos

Last Updated: Oct 30, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Area of Science:

Indoor positioning systems
Sensor fusion algorithms
Navigation technology

Background:

Global Navigation Satellite System (GNSS) is effective outdoors but fails indoors due to signal obstruction.
Pedestrian Dead Reckoning (PDR) suffers from accumulated errors.
Ultra Wide Band (UWB) can have gross location errors in non-line-of-sight (NLOS) scenarios.

Purpose of the Study:

To develop an integrated navigation algorithm for accurate and continuous indoor positioning.
To address error accumulation in PDR and gross errors in UWB under NLOS conditions.
To improve the robustness and heading accuracy of indoor positioning systems.

Main Methods:

A loose combination of PDR and UWB algorithms was proposed.
An adaptively robust Extended Kalman Filter (EKF) was utilized for sensor fusion.
A robust factor adjusted observation value weights to resist gross errors.
System variance was adaptively adjusted based on the positioning scene.

Main Results:

The proposed algorithm effectively reduced PDR error accumulation.
The system demonstrated resilience against gross location errors in UWB NLOS scenarios.
Experimental data verified the algorithm's effectiveness in improving indoor positioning accuracy and continuity.

Conclusions:

The integrated PDR/UWB algorithm offers a robust solution for indoor navigation.
Adaptive EKF significantly enhances positioning performance by managing sensor error characteristics.
This approach provides a reliable alternative to GNSS for indoor environments.