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

Doppler Effect - II01:05

Doppler Effect - II

3.3K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
3.3K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.4K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.4K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

85
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
85
Propagation of Waves01:07

Propagation of Waves

2.3K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
2.3K
Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

3.3K
Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
3.3K
Electromagnetic Wave Equation01:24

Electromagnetic Wave Equation

981
Maxwell's equations for electromagnetic fields are related to source charges, either static or moving. These fields act on a test charge, whose trajectory can thus be determined using suitable boundary conditions. The objective of electromagnetism is thus theoretically complete.
However, although electric and magnetic fields were first introduced as mathematical constructs to simplify the description of mutual forces between charges, a natural question emerges from Maxwell's equations:...
981

You might also read

Related Articles

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

Sort by
Same author

A 3D-printed self-propelled, highly sensitive mini-motor for underwater pesticide detection.

Talanta·2018
Same author

Integrated analysis of microarray data to identify the genes critical for the rupture of intracranial aneurysm.

Oncology letters·2018
Same author

Editorial: Recent Advances of Cell and Gene Therapy in Kidney Diseases.

Current gene therapy·2018
Same author

Photocatalytic Supramolecular Enantiodifferentiating Dimerization of 2-Anthracenecarboxylic Acid through Triplet-Triplet Annihilation.

Organic letters·2018
Same author

On the realization of acoustic attenuation using a microperforated panel alone.

The Journal of the Acoustical Society of America·2018
Same author

Advances in covalent organic frameworks in separation science.

Journal of chromatography. A·2018

Related Experiment Video

Updated: May 29, 2025

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

4.8K

Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning.

Jian Wang1,2,3, Chengsong Duan1,2, Qiao Yu1,2

  • 1School of Microelectronics, Tianjin University, Tianjin, 300072, China.

Scientific Reports
|February 3, 2025
PubMed
Summary

This study improves low-frequency (LF) radio wave propagation prediction using machine learning. The enhanced method boosts prediction accuracy for LF sky wave field strength by 6.16%.

Keywords:
Ionospheric f oELFMachine learningSky wave propagation prediction

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

9.8K

Related Experiment Videos

Last Updated: May 29, 2025

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

4.8K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

9.8K

Area of Science:

  • Radio wave propagation
  • Ionospheric physics
  • Machine learning applications

Background:

  • Accurate prediction of low-frequency (LF) radio wave propagation is crucial for long-distance communication, navigation, and timing services.
  • Existing prediction methods, such as wave-hop theory, have limitations in accuracy.
  • The ionospheric E layer's critical frequency (f o E) significantly influences LF sky wave propagation.

Purpose of the Study:

  • To enhance the accuracy of LF sky wave propagation prediction.
  • To develop an improved machine learning-based method for predicting LF sky wave propagation.
  • To incorporate a machine learning model for the critical frequency of the low ionospheric E layer (f o E).

Main Methods:

  • A machine learning method was employed to create a predictive model for the critical frequency of the low ionospheric E layer (f o E).
  • An enhanced method for predicting LF sky wave propagation was developed, utilizing the established model of low ionospheric parameters.
  • The proposed method's performance was evaluated by comparing its predictions with measured data from East Asia.

Main Results:

  • The machine learning model successfully predicted the critical frequency of the low ionospheric E layer (f o E).
  • The enhanced LF sky wave propagation prediction method demonstrated improved accuracy compared to traditional wave-hop theory.
  • A 6.16% improvement in LF sky wave field strength prediction accuracy was achieved using the proposed method.

Conclusions:

  • The proposed machine learning-based approach significantly enhances the accuracy of LF sky wave propagation prediction.
  • The integration of an ionospheric E layer critical frequency model improves the reliability of LF propagation forecasts.
  • This research offers a more precise tool for applications relying on LF radio wave communication and navigation.