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This study presents a two-step algorithm to compensate for Doppler frequency offset in satellite communications. The method effectively eliminates Doppler effects, ensuring accurate synchronization for reliable data transmission.

Keywords:
Doppler shiftfast Fourier transformation (FFT)frequency offset correction (FOC)inverse fast Fourier transform (IFFT)maximum likelihood (ML) estimation

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Area of Science:

  • Satellite Communication Systems
  • Signal Processing

Background:

  • Relative motion in satellite systems causes Doppler frequency offset, impacting communication synchronization.
  • Accurate synchronization is crucial for reliable data transmission in satellite links.

Purpose of the Study:

  • To develop and validate a method for compensating Doppler frequency offset and phase offset in satellite communications.
  • To mitigate the adverse effects of the Doppler effect on communication synchronization.

Main Methods:

  • A novel algorithm is proposed, dividing frequency estimation into coarse and precision steps.
  • The method implements Doppler frequency offset and phase offset compensation.
  • Simulations were used to evaluate the algorithm's performance.

Main Results:

  • The compensation algorithm effectively eliminated the influence of Doppler effects on synchronization.
  • Demodulated output data closely matched original modulation data post-compensation.
  • Simulation results validated the algorithm's accuracy and effectiveness.

Conclusions:

  • The proposed algorithm provides a valid and accurate solution for Doppler frequency and phase offset compensation.
  • This method enhances synchronization reliability in satellite communication systems affected by relative motion.