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Doppler Effect - II01:05

Doppler Effect - II

3.4K
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...
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Doppler Effect - I00:56

Doppler Effect - I

3.5K
The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
3.5K
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

53
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...
53
Circular Orbits and Critical Velocity for Satellites01:16

Circular Orbits and Critical Velocity for Satellites

2.9K
The Moon orbits around the Earth. In turn, the Earth (and other planets) orbit the Sun. The space directly above our atmosphere is filled with artificial satellites in orbit. One can examine the circular orbit, the simplest kind of orbit, to understand the relationship between the speed and the period of planets and satellites with respect to their positions and the bodies that they orbit.
Nicolaus Copernicus (1473-1543) first suggested that the Earth and all other planets orbit the Sun in...
2.9K
Precipitation Gravimetry01:03

Precipitation Gravimetry

5.5K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
5.5K
Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

Influence of Earth's Curvature and Atmospheric Refraction on Leveling

71
During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
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Related Experiment Video

Updated: Jun 14, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
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Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

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Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites.

Ekta Sharma1, Ravinesh C Deo1, Christopher P Davey1

  • 1Artificial Intelligence Applications Laboratory, School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary

This study enhances Low-Earth-orbit (LEO) satellite Internet of Things (IoT) services by using artificial intelligence to predict the Doppler effect, achieving over 91% packet delivery rates. The hybrid IIS-LSTM model shows superior accuracy and efficiency for LEO satellite communications.

Keywords:
Doppler dhiftDoppler rateLEOLoRaartificial intelligencepower efficiencysatellite

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Area of Science:

  • Satellite Communications
  • Internet of Things (IoT)
  • Artificial Intelligence in Space Systems

Background:

  • Low-Earth-orbit (LEO) satellites offer promising infrastructure for global Internet of Things (IoT) services.
  • The Doppler effect in Long-Range (LoRa) modulation poses a significant challenge for uplink connectivity in LEO satellite systems.
  • Existing methods require enhancement to address the complexities of Doppler weather effects impacting LEO satellite operational efficiency.

Purpose of the Study:

  • To comprehensively examine the operational efficiency of LEO satellites concerning the Doppler weather effect.
  • To develop and evaluate advanced artificial intelligence techniques for predicting and mitigating Doppler-related challenges.
  • To compare the performance of a novel hybrid IIS-LSTM model against established AI models like CNN and XGBoost.

Main Methods:

  • Tracking of Globalstar and International Space Station (ISS) LEO satellite constellations using ground radars.
  • Modelling satellite constellations, calculating latency, and frequency offset.
  • Designing and implementing a hybrid Iterative Input Selection-Long Short-Term Memory Network (IIS-LSTM) model for Doppler weather profile prediction.

Main Results:

  • Packet delivery rates exceeding 91% were achieved for Globalstar (11.5 MHz) and ISS NAUKA (145.8 MHz) at spread factor 12.
  • The IIS-LSTM model demonstrated high accuracy (97.51%) and efficiency, particularly in lower signal-to-noise ratio (SNR) conditions.
  • The IIS-LSTM model achieved a computation time of approximately 0.4651s for lower SNRs, outperforming CNN and XGBoost in this scenario.

Conclusions:

  • The developed IIS-LSTM model effectively predicts Doppler weather profiles, significantly improving LEO satellite communication efficiency for IoT services.
  • The hybrid AI approach offers a robust solution for mitigating Doppler effect challenges in LEO satellite networks.
  • Further research is recommended to incorporate atmospheric attenuation and other space parameters into LoRa Doppler analysis.