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Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity
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Time-Varying Kelvin Wake Model and Microwave Velocity Observation.

Jie Niu1,2, Xingdong Liang1,2, Xin Zhang1

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Sensors (Basel, Switzerland)
|March 18, 2020
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Summary

This study introduces a novel time-varying Kelvin wake model and specialized radar for measuring ship wake Doppler velocity. This advancement overcomes limitations of static models, enabling more accurate Kelvin wake analysis.

Keywords:
Doppler velocity observationKelvin wakeMIMOmillimeter wave radartime-varying model

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Area of Science:

  • Oceanography
  • Radar Engineering
  • Fluid Dynamics

Background:

  • Synthetic aperture radar (SAR) imaging of ship wakes struggles with Doppler velocity measurement of Kelvin wakes.
  • Existing static Kelvin wake models do not capture essential time-varying characteristics.
  • Lack of suitable radar equipment hinders accurate wake velocity analysis.

Purpose of the Study:

  • To propose a novel time-varying Kelvin wake model incorporating geometric and hydrodynamic factors.
  • To develop and utilize specialized radar equipment for Doppler velocity measurement of Kelvin wakes.
  • To validate the proposed model using experimental Doppler velocity data.

Main Methods:

  • Development of a time-varying Kelvin wake model considering geometric and hydrodynamic equations.
  • Utilizing ground-based multi-input multi-output (MIMO) millimeter wave radar with simultaneous transceiver channel switching.
  • Acquisition of Doppler velocity data for Kelvin wakes.

Main Results:

  • Successful measurement of Kelvin wake Doppler velocity using MIMO radar for the first time.
  • Experimental results show good agreement with the proposed time-varying Kelvin wake model.
  • Demonstration of the model's ability to reflect time-varying wake changes.

Conclusions:

  • The proposed time-varying Kelvin wake model accurately represents wake dynamics.
  • The specialized MIMO radar system effectively measures Kelvin wake Doppler velocity.
  • This integrated approach offers significant potential for Kelvin wake observation and analysis.