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A brightness-referenced star identification algorithm for APS star trackers.

Peng Zhang1, Qile Zhao2, Jingnan Liu3

  • 1GNSS Research Center, Wuhan University, No.129 Luoyu Road, Wuhan 430079, China. fenix@whu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces an improved star identification algorithm for active pixel sensor star trackers. The new method enhances matching efficiency by incorporating star brightness, significantly outperforming existing techniques.

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Area of Science:

  • Spacecraft attitude determination
  • Astrodynamics and space navigation

Background:

  • Star trackers are crucial for spacecraft attitude sensing, with active pixel sensors (APS) offering advantages over traditional charge-coupled devices (CCD).
  • Star brightness is valuable but underutilized in traditional star tracker identification algorithms.

Purpose of the Study:

  • To develop an improved brightness-referenced star identification algorithm for APS star trackers.
  • To enhance the efficiency and accuracy of the star matching process by leveraging imaged star intensities.

Main Methods:

  • Utilized k-vector search theory, incorporating imaged star intensities to refine the star identification scope.
  • Developed a dual-mode (three-star and four-star) algorithm adaptable to various imaging conditions.
  • Compared the proposed algorithm against pyramid and geometric voting methods using simulated and in-orbit ZY-3 APS star tracker data.

Main Results:

  • The new algorithm demonstrated significantly improved efficiency, being 4-5 times faster than the pyramid method and 35-37 times faster than the geometric method.
  • Performance was validated using a 1500-star catalog with both simulated and actual in-orbit data.
  • The algorithm effectively narrows the search scope by utilizing star brightness, especially in the three-star mode for brighter stars.

Conclusions:

  • The proposed brightness-referenced star identification algorithm offers a substantial efficiency improvement for APS star trackers.
  • This method enhances spacecraft attitude determination accuracy and speed, particularly in dynamic space environments.
  • The integration of star intensity data represents a key advancement in star tracker technology.