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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38

You might also read

Related Articles

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

Sort by
Same author

Atomically Dispersed Ru-Supported Cu-Ceria Catalysts for Selective 1-Octanol Ammoxidation.

The journal of physical chemistry letters·2026
Same author

Duhuo Jisheng Decoction Mitigates Intervertebral Disc Degeneration via Metabolic Reprogramming and TGF-β/Smad-Driven Autophagy-Fibrosis Network Modulation.

Biomedical chromatography : BMC·2026
Same author

Ligand Engineering of Dithiolate-Protected Au<sub>24</sub>Pt Nanoclusters for Improved Thermocatalytic Activity.

Nano letters·2026
Same author

The common pathological network of inflammation, extracellular matrix imbalance, and senescence in intervertebral disc degeneration and osteoarthritis.

Molecular biology reports·2026
Same author

Effects of biodegradable and conventional plastics on sulfur transformation during aerobic sludge composting.

Bioresource technology·2026
Same author

Multiple-Bonding and Lability: Study of an Anionic Vanadium Alumanyl.

Angewandte Chemie (International ed. in English)·2026

Related Experiment Video

Updated: May 25, 2025

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

9.2K

An Electro-Magnetic Log (EML) Integrated Navigation Algorithm Based on Hidden Markov Model (HMM) and Cross-Noise

Haosu Zhang1,2, Liang Yang1,2, Lei Zhang3

  • 1Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
Summary

This study introduces an integrated navigation algorithm for autonomous underwater vehicles (AUVs) using hidden Markov models (HMM) and Kalman filters. The new method significantly improves positioning accuracy and current speed estimation compared to traditional approaches.

Keywords:
AUVKalman filter (KF)-integrated navigationinertial navigation systemocean current estimation

More Related Videos

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

1.5K
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

9.2K

Related Experiment Videos

Last Updated: May 25, 2025

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

9.2K
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

1.5K
High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

9.2K

Area of Science:

  • Robotics and Autonomous Systems
  • Navigation and Control
  • Ocean Engineering

Background:

  • Autonomous Underwater Vehicles (AUVs) require robust navigation systems for various applications.
  • Strapdown Inertial Navigation Systems (SINS) are prone to drift, necessitating integration with other sensors.
  • Electromagnetic Logs (EML) offer advantages over Doppler Velocity Logs (DVL) in terms of size, cost, and power consumption.

Purpose of the Study:

  • To develop an advanced integrated navigation algorithm for small to medium-sized AUVs.
  • To enhance positioning accuracy and current speed estimation capabilities.
  • To improve the robustness and adaptability of AUV navigation in complex underwater environments.

Main Methods:

  • Integration of Electromagnetic Log (EML), Strapdown Inertial Navigation System (SINS), and Global Navigation Satellite System (GNSS) data.
  • Application of Hidden Markov Model (HMM) for EML data pre-processing.
  • Utilizing Cross-Noise Linear Kalman Filter (CNLKF) for SINS/EML fusion.
  • Employing Modified Adaptive Linear Kalman Filter (MALKF) for GNSS-based calibration and current speed estimation.
  • Implementing feedback correction using a Linear Kalman Filter (LKF).

Main Results:

  • The proposed algorithm achieved an endpoint positioning error of 20.5 m, a significant improvement over the traditional algorithm's 712.1 m error.
  • Accurate estimation of water current speed was demonstrated.
  • The algorithm showed strong anti-interference capabilities, effectively handling outliers from EML and GNSS data.
  • High accuracy, adaptability, and engineering practicality were confirmed through sea trials.

Conclusions:

  • The developed HMM and CNLKF-based integrated navigation algorithm offers superior performance for AUVs.
  • The algorithm provides a robust and accurate solution for underwater navigation, outperforming traditional methods.
  • EML offers a cost-effective and efficient alternative to DVL for AUV navigation systems.