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Research on Motion Estimation Algorithm of Star Point Based on Nonlinear Gaussian Fitting

  • Chaoran Wang (王超然)
  • Qilian Bao (鲍其莲)
  • Xunjiang Zheng (郑循江)
  • Shuodong Sun (孙朔冬)
Article

Abstract

The energy distribution model of motion blurred star point is analyzed. The distribution of the star point approximates to a two-dimensional (2D) Gaussian distribution under degeneration. Two multi-parameter nonlinear Gaussian fitting methods (GFMs) are proposed, and the relationship between fitting parameters and motion blur parameters is analyzed. Estimation of the parameters of motion blur by fitting parameters is calculated to realize the error compensation of the motion blur. The simulation results show the effectiveness and accuracy.

Key words

star sensors centroid calculation Gaussian fitting method (GFM) motion blur 

CLC number

TP 391 

Document code

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Copyright information

© Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Chaoran Wang (王超然)
    • 1
  • Qilian Bao (鲍其莲)
    • 1
  • Xunjiang Zheng (郑循江)
    • 2
  • Shuodong Sun (孙朔冬)
    • 2
  1. 1.School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Shanghai Aerospace Control Technology InstituteShanghaiChina

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