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

Integrator and Differentiator01:13

Integrator and Differentiator

1.5K
Op-amp circuits have significant applications in various fields, including automotive engineering. One such application is cruise control systems in cars, where op-amp circuits are integral for maintaining a constant speed. In these systems, op-amps function as both integrators and differentiators.
An integrator within an op-amp circuit produces an output directly proportional to the integral of the input signal. This is achieved by replacing the feedback resistor in a typical inverting...
1.5K
Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
Integration by Parts: Indefinite Integrals01:26

Integration by Parts: Indefinite Integrals

189
Integration by parts is a fundamental technique in calculus for evaluating integrals involving the product of two functions. It is particularly useful when direct integration is not feasible. The method is based on the product rule for differentiation, which states that the derivative of a product equals the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating this identity and rearranging terms, the integration by parts...
189
Integration by Parts: Definite Integrals01:23

Integration by Parts: Definite Integrals

87
Definite integrals involving the product of two functions over a fixed interval can be evaluated using integration by parts. This method rewrites the integral as the difference of a product evaluated at the endpoints and a remaining definite integral that is often simpler to compute.A representative example is the definite integral of the inverse tangent function. Since there is no direct integration formula for arctan ⁡x, the integrand is rewritten as a product of arctan⁡ x and the...
87

You might also read

Related Articles

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

Sort by
Same author

Single-cell transcriptomics reveals cellular heterogeneity and phenotypic transitions of smooth muscle cells in aortic dissection.

iMeta·2026
Same author

Single Cell and Bulk RNA-Seq Profiling of Non-Metastatic Versus Bone-Metastatic Prostate Cancer Identifies the CXCL10-CXCR3 Axis as a Key Determinant of Tumor Microenvironment and Treatment Resistance.

Biomedicines·2026
Same author

A multi-task deep learning framework for intraoperative diagnosis of thyroid cancer metastasis using whole slide images.

International journal of medical informatics·2025
Same author

Vimentin Regulates Alternative Polyadenylation and mTOR Signaling via ARVCF to Promote B Cell Lymphoma Progression.

Human mutation·2025
Same author

Lifetime-based ODMR in fluorescent nanodiamonds enables robust quantum sensing in biological medium solution.

The Journal of chemical physics·2025
Same author

Stimulated Raman Scattering Microscopy Facilitates the Discovery of Diacylglycerol <i>O</i>-Acyltransferase 2 as a Target to Enhance Iodine Uptake in Papillary Thyroid Carcinoma.

Analytical chemistry·2025
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

8.6K

GNSS/SINS/DVL integrated navigation algorithm based on adaptive differential Kalman filtering.

Zhao Zhan1, Changjian Liu1, Kaidi Jin2

  • 1Information Engineering University, Zhengzhou, China.

Plos One
|February 5, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive differential Kalman filtering (ADKF) method to improve navigation accuracy for unmanned underwater vehicles (UUVs). The ADKF method enhances parameter estimation stability and accuracy in complex marine environments compared to standard Kalman filters.

More Related Videos

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.5K
A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation
09:23

A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation

Published on: February 13, 2017

8.9K

Related Experiment Videos

Last Updated: Feb 7, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

8.6K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.5K
A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation
09:23

A Rapid Filter Insert-based 3D Culture System for Primary Prostate Cell Differentiation

Published on: February 13, 2017

8.9K

Area of Science:

  • Marine Navigation Technology
  • Robotics and Autonomous Systems
  • Signal Processing and Control Theory

Background:

  • Integrated navigation systems, combining Global Navigation Satellite System/Strapdown Inertial Navigation System/Doppler Velocity Logger (GNSS/SINS/DVL), are crucial for marine carriers.
  • Unmanned Underwater Vehicles (UUVs) encounter significant challenges in dynamic maritime navigation due to observation anomalies and inaccurate dynamic models.
  • Standard Kalman filters (KF) struggle to maintain accuracy in complex ocean environments, impacting UUV navigation parameter estimation.

Purpose of the Study:

  • To develop an improved filtering method for GNSS/SINS/DVL integrated navigation data specifically for UUVs.
  • To address the limitations of standard Kalman filters in handling dynamic maritime navigation complexities.
  • To enhance the accuracy and stability of navigation parameter estimation for UUVs in challenging marine settings.

Main Methods:

  • Implementation of an Adaptive Differential Kalman Filtering (ADKF) algorithm.
  • Processing of integrated navigation data from GNSS/SINS/DVL subsystems.
  • Comparative analysis of ADKF against the standard Kalman filter (KF) using experimental data.

Main Results:

  • The proposed ADKF method demonstrated significantly enhanced accuracy in navigation parameter estimation.
  • The ADKF algorithm showed improved stability in parameter estimation compared to the standard KF.
  • Experimental results confirmed the effectiveness of ADKF in complex marine environments.

Conclusions:

  • The adaptive differential Kalman filtering (ADKF) method is a robust solution for post-processing integrated navigation data for UUVs.
  • ADKF offers superior performance over standard KF in terms of accuracy and stability for UUV navigation.
  • The developed method is well-suited for enhancing the reliability of UUV navigation in challenging ocean conditions.