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MVDT-SI: A Multi-View Double-Triangle Algorithm for Star Identification.

Lijian Sun1, Yun Zhou1

  • 1Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410072, China.

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|May 31, 2020
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Summary
This summary is machine-generated.

A new multi-view double-triangle algorithm enhances star identification by using angle and distance, achieving over 98.4% accuracy even with missing or false stars. This robust method improves reliability in celestial navigation.

Keywords:
double-trianglemulti-viewstar identification

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Area of Science:

  • Astronomy and Astrophysics
  • Computer Science
  • Robotics and Autonomous Systems

Background:

  • The triangle algorithm is a common star identification method, relying on star magnitude, which can be unreliable due to errors or loss.
  • Magnitude information's limitations necessitate alternative approaches for robust star pattern recognition.

Purpose of the Study:

  • To develop a novel star identification algorithm robust to magnitude errors and noise.
  • To improve the accuracy and reliability of star identification in challenging observational conditions.

Main Methods:

  • Proposed a multi-view double-triangle algorithm utilizing star angle and distance information.
  • Constructed multi-view double-triangle features to enhance robustness against noise.
  • Evaluated the algorithm using synthetic and real experimental data.

Main Results:

  • Achieved over 98.4% identification accuracy in the presence of false and missing star noises.
  • Demonstrated independence from focal length and shooting angle variations.
  • Exhibited good robustness, reduced identification time, and lower storage requirements.

Conclusions:

  • The multi-view double-triangle algorithm offers a robust and accurate solution for star identification.
  • This method overcomes the limitations of magnitude-dependent algorithms, proving beneficial for practical applications.
  • The algorithm's performance and efficiency make it suitable for star sensors in various conditions.