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Maximum Power Transfer01:16

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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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IR Frequency Region: X–H Stretching01:24

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In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
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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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Angle of Twist - Elastic Range01:13

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Consider a cylindrical shaft with a length denoted by L and a consistent cross-sectional radius referred to as r. This shaft undergoes a torque at the free end. The highest shearing strain within the shaft is directly proportional to the twist angle and the radial distance from the shaft axis. When the shaft behaves elastically, this shearing strain can be articulated using variables such as the applied torque, radial distance, the polar moment of inertia, and the modulus of rigidity. By...
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Bandpass Sampling01:17

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In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
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Related Experiment Video

Updated: Aug 30, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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Optimal Progressive Pitch for OneWeb Constellation with Seamless Coverage.

Cheng Zou1,2,3, Haiwang Wang1,2,3, Jiachao Chang1,4

  • 1Innovation Academy for Microsatellites of CAS, Shanghai 201203, China.

Sensors (Basel, Switzerland)
|August 26, 2022
PubMed
Summary

A new progressive pitch strategy effectively manages large low Earth orbit (LEO) satellite constellations. This method prevents interference with geostationary Earth orbit (GSO) satellites while maximizing LEO satellite transmission capacity and ensuring seamless coverage.

Keywords:
GSOLEObroadband satellite constellationinterferenceprogressive pitchseamless coveragespatial separation

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Area of Science:

  • Satellite Systems Engineering
  • Space Communications
  • Optimization Algorithms

Background:

  • Advancements in technology and reduced launch costs enable large-scale low Earth orbit (LEO) satellite constellations.
  • LEO constellations pose interference risks to existing geostationary Earth orbit (GSO) satellite systems.
  • Balancing interference avoidance, seamless coverage, and transmission capacity in LEO constellations is a complex design challenge.

Purpose of the Study:

  • To develop a strategy for managing LEO satellite constellations to avoid interference with GSO systems.
  • To ensure continuous coverage for LEO satellite constellations.
  • To optimize the overall transmission capacity of LEO satellite systems.

Main Methods:

  • Modeling of inline interference events and seamless coverage scenarios.
  • Formulation of an optimization problem to maximize transmission capacity.
  • Design and application of a genetic algorithm to solve the complex optimization problem.

Main Results:

  • The proposed progressive pitch strategy successfully avoids harmful interference with GSO satellite systems.
  • Seamless coverage of the LEO constellation is effectively maintained.
  • The strategy leads to the maximization of satellite transmission capacity.

Conclusions:

  • The developed progressive pitch strategy offers a viable solution for deploying large LEO satellite constellations.
  • This approach ensures coexistence between LEO and GSO satellite systems.
  • The optimization strategy enhances the overall efficiency and performance of LEO satellite networks.