YunCai Hao

China Academy of Space Technology (CAST), Peping, Beijing, China

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Publications (1)1.19 Total impact

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    ABSTRACT: Subpixel centroid estimation is the most important star image location method of star tracker. This paper presents a theoretical analysis of the systematic error of subpixel centroid estimation algorithm utilizing frequency domain analysis under the consideration of sampling frequency limitation and sampling window limitation. Explicit expression of systematic error of centroid estimation is obtained, and the dependence of systematic error on Gaussian width of star image, actual star centroid location and the number of sampling pixels is derived. A systematic error compensation algorithm for star centroid estimation is proposed based on the result of theoretical analysis. Simulation results show that after compensation, the residual systematic errors of 3-pixel- and 5-pixel-windows’ centroid estimation are less than 2×10−3 pixels and 2×10−4 pixels respectively. Keywordsstar tracker-star image location-subpixel centroid estimation-centroid algorithm-frequency domain analysis-systematic error compensation
    Science China Technological Sciences 01/2010; 53(11):3145-3152. · 1.19 Impact Factor

Publication Stats

2 Citations
1.19 Total Impact Points

Institutions

  • 2010
    • China Academy of Space Technology (CAST)
      Peping, Beijing, China