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False star detection and isolation during star tracking based on improved chi-square tests.

Hao Zhang1, Yanxiong Niu1, Jiazhen Lu1

  • 1School of Instrumentation Science and Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.

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This study introduces a new algorithm for detecting and isolating false stars during spacecraft star tracking. The improved chi-square test method enhances attitude measurement accuracy by effectively removing interference.

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Area of Science:

  • Spacecraft attitude determination
  • Optical navigation systems

Background:

  • Star sensors are critical for spacecraft attitude measurement.
  • False stars pose a significant challenge, degrading measurement accuracy during star tracking.

Purpose of the Study:

  • To develop and verify an algorithm for false star detection and isolation in star tracking.
  • To maintain high attitude measurement accuracy despite false star interference.

Main Methods:

  • An improved chi-square test algorithm for false star detection and isolation.
  • Utilizing a Kalman filter for global state chi-square testing.
  • Employing a priori information and local state chi-square testing for isolation.

Main Results:

  • Successfully detected and isolated various false stars during semi-physical experiments.
  • Attitude measurement accuracy remained largely unaffected by false stars.
  • The algorithm demonstrated high speed, stability, and robustness.

Conclusions:

  • The proposed algorithm effectively mitigates false star interference in star tracking.
  • It ensures reliable and accurate spacecraft attitude determination.
  • The method offers a robust solution for real-world space applications.