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

Compass01:23

Compass

59
The compass is a fundamental instrument that operates by aligning its magnetic needle with Earth's magnetic field. This alignment facilitates navigation and orientation, offering a means to determine direction relative to magnetic north. However, the magnetic needle points to magnetic north, which differs slightly from true geographic north due to magnetic declination, which is the angular deviation between these two points. Declination varies based on geographic location and shifts over time...
59
Gyroscope: Precession01:24

Gyroscope: Precession

4.1K
Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
4.1K
Gyroscope01:02

Gyroscope

3.0K
A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
3.0K
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

60
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,...
60
Polar and Cylindrical Coordinates01:22

Polar and Cylindrical Coordinates

14.5K
The Cartesian coordinate system is a very convenient tool to use when describing the displacements and velocities of objects and the forces acting on them. However, it becomes cumbersome when we need to describe the rotation of objects. So, when describing rotation, the polar coordinate system is generally used.
14.5K
Inertial Frames of Reference01:03

Inertial Frames of Reference

7.1K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
7.1K

You might also read

Related Articles

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

Sort by
Same author

Design and Fabrication of a Dual-Axis MEMS Electrostatic Micromirror Based on a Planar Comb Drive.

Micromachines·2026
Same author

Design and Implementation of a Low-Noise Analog Front-End Circuit for MEMS Capacitive Accelerometers.

Micromachines·2026
Same author

Variational Bayesian Innovation Saturation Kalman Filter for Micro-Electro-Mechanical System-Inertial Navigation System/Polarization Compass Integrated Navigation.

Micromachines·2025
Same author

A Novel Variational Bayesian Method Based on Student's <i>t</i> Noise for Underwater Localization.

Sensors (Basel, Switzerland)·2025
Same author

A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization.

Sensors (Basel, Switzerland)·2025
Same author

Fano Resonant Sensing in MIM Waveguide Structures Based on Multiple Circular Split-Ring Resonant Cavities.

Micromachines·2025
Same journal

Correction: Kang et al. Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester. <i>Micromachines</i> 2024, <i>15</i>, 581.

Micromachines·2026
Same journal

Femtosecond Laser Texturing of Wood Coatings with Bio-Based Epoxy and Wax Additives for Enhanced Hydrophobicity.

Micromachines·2026
Same journal

Engineering of Optoelectronic Devices for Renewable Energy Applications.

Micromachines·2026
Same journal

Phase Transformation and Electrochemical Behavior of Hexagonal TiO<sub>2</sub> Nanotubes Under Different Annealing Temperatures and Heating Rates.

Micromachines·2026
Same journal

Process Optimization and Predictive Modeling of Femtosecond Laser Precision Milling for Commercial PMMA Slices.

Micromachines·2026
Same journal

A Hybrid Preprocessing Multi-Objective Surrogate Model for Thermal MEMS Actuators.

Micromachines·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2025

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

11.9K

Seamless Micro-Electro-Mechanical System-Inertial Navigation System/Polarization Compass Navigation Method with Data

Huijun Zhao1, Chong Shen1, Huiliang Cao1

  • 1The State Key Laboratory of Dynamic Measurement Technology, The School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Micromachines
|February 24, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a dual data- and model-driven method to enhance micro-electro-mechanical system-inertial navigation systems (MEMS-INS) integrated with polarization compasses (PCs). The approach improves navigation accuracy in challenging IoT environments.

Keywords:
NARXcubature Kalman filterintegrated navigation systemvariational Bayesian method

More Related Videos

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.7K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

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

1.6K

Related Experiment Videos

Last Updated: Jul 2, 2025

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

11.9K
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.7K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

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

1.6K

Area of Science:

  • Robotics and Autonomous Systems
  • Sensor Fusion
  • Navigation Technology

Background:

  • Micro-electro-mechanical system-inertial navigation systems (MEMS-INS) integrated with polarization compasses (PCs) are crucial for vehicle navigation in Internet of Things (IoT) applications.
  • These integrated systems face challenges like cumulative errors and time-varying noise covariance in complex, dynamic, and occluded environments.
  • Existing methods struggle to maintain accuracy and reliability under such adverse conditions.

Purpose of the Study:

  • To propose a novel dual data- and model-driven seamless navigation method for MEMS-INS/PC integrated systems.
  • To address the limitations of cumulative errors and time-varying measurement noise covariance.
  • To enhance the overall performance, robustness, and accuracy of navigation in challenging environments.

Main Methods:

  • A nonlinear autoregressive neural network (NARX) with Gauss-Newton Bayesian regularization trains to model MEMS-INS outputs and PC heading increments for data-driven operation.
  • A nonlinear MEMS-INS/PC loosely coupled navigation model is established for the model-driven component.
  • Variational Bayesian methods estimate time-varying measurement noise covariance, and the cubature Kalman filter solves the nonlinear navigation problem.

Main Results:

  • The proposed dual data- and model-driven method demonstrates robustness and effectiveness in experimental verification.
  • The system successfully models the dynamic characteristics of the integrated navigation system.
  • High-precision heading information is stably provided even in complex, occluded, and dynamic environments.

Conclusions:

  • The developed dual data- and model-driven approach significantly improves the performance of MEMS-INS/PC integrated navigation systems.
  • The method effectively mitigates cumulative errors and handles time-varying noise covariance.
  • This advancement offers a reliable solution for high-precision vehicle navigation in challenging real-world IoT applications.