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Direction-of-Arrival (DoA) Estimation Performance for Satellite Applications in a Multipath Environment with Rician

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Summary
This summary is machine-generated.

This study models Direction-of-Arrival (DoA) angles in satellite communications, incorporating spatial correlation to enhance estimation accuracy. Results show improved Root Mean Square Error (RMSE) performance for DoA estimation in satellite systems.

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Rician fadingdirection-of-arrival (DoA) estimationgeostationary Earth orbit (GEO)low Earth orbit (LEO)multipath environmentspatial correlation

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Area of Science:

  • Satellite Communications
  • Signal Processing
  • Array Signal Processing

Background:

  • Direction-of-Arrival (DoA) estimation is crucial for satellite communication applications across various orbits.
  • Existing methods lack a comprehensive model for DoA angle with respect to elevation angle and the impact of spatial correlation.

Purpose of the Study:

  • To develop a novel framework for modeling DoA angles in satellite communications relative to elevation angle.
  • To investigate the impact of spatial correlation on DoA estimation techniques in satellite systems.
  • To introduce a signal model incorporating correlation specifically for DoA estimation.

Main Methods:

  • Developed a closed-form expression for DoA angle modeling, considering antenna boresight, satellite/Earth station positions, and altitude.
  • Introduced a signal model that incorporates spatial correlation for satellite communication channels.
  • Evaluated DoA estimation performance using Root Mean Square Error (RMSE) via Monte Carlo simulations for uplink and downlink.

Main Results:

  • The proposed framework accurately calculates Earth station elevation angles and models DoA angles.
  • Incorporating spatial signal correlation significantly improves RMSE performance in DoA estimations.
  • Simulation results demonstrate performance compared against the Cramer-Rao Lower Bound (CRLB) under Additive White Gaussian Noise (AWGN).

Conclusions:

  • The developed DoA angle modeling framework is unique and addresses a gap in the literature.
  • Spatial correlation modeling is essential for enhancing DoA estimation accuracy in satellite communications.
  • The study provides valuable insights for improving satellite communication system performance through advanced DoA estimation techniques.