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An Efficient Algorithm for Infrared Earth Sensor with a Large Field of View.

Bendong Wang1, Hao Wang1, Zhonghe Jin1

  • 1Micro-Satellite Research Center, School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.

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Summary
This summary is machine-generated.

This study introduces an improved algorithm for infrared Earth sensors, enhancing accuracy and speed. The novel method, utilizing modified RANSAC and WTLS, significantly boosts nadir estimation precision for satellite navigation.

Keywords:
infrared Earth sensormodified RANSACweighted total least squares

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Area of Science:

  • Space Science and Technology
  • Computer Vision
  • Geodesy

Background:

  • Large-field-of-view (FOV) infrared Earth sensors are crucial for low-Earth-orbit satellites.
  • Accurate nadir estimation is vital for satellite attitude determination and control.
  • Existing algorithms face challenges with speed and accuracy, especially in complex scenarios.

Purpose of the Study:

  • To develop a novel algorithm for improving the accuracy and speed of infrared Earth sensors.
  • To enhance nadir estimation precision using advanced computational techniques.
  • To validate the algorithm's performance against existing methods using simulated and real-world satellite data.

Main Methods:

  • A modified Random Sample Consensus (RANSAC) algorithm with pre-verification for efficient noise point removal.
  • Incorporation of Earth's oblateness and projection of the Earth's horizon onto a unit sphere as a 3D curve.
  • Application of Total Least Squares (TLS) and Weighted Total Least Squares (WTLS) for precise horizon fitting.

Main Results:

  • The proposed algorithm demonstrates superior speed compared to RANSAC, MLESAC, and Hough transformation.
  • Achieved high accuracy in nadir estimation: approximately 0.04° RMSE with full Earth visibility.
  • Maintained significant accuracy (0.16° RMSE) even at a 120° off-nadir angle.

Conclusions:

  • The modified RANSAC and WTLS-based algorithm offers a substantial improvement in Earth sensor performance.
  • This method provides a robust and accurate solution for nadir estimation in satellite applications.
  • The algorithm's efficiency and accuracy make it a valuable advancement for space-based navigation systems.