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

被引：4
作者：
Wang C. [1 ]
Bao Q. [1 ]
Zheng X. [2 ]
Sun S. [2 ]
机构：
[1] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[2] Shanghai Aerospace Control Technology Institute, Shanghai
来源：
Journal of Shanghai Jiaotong University (Science) | 2018年 / 23卷 / 04期
关键词：
A; centroid calculation; Gaussian fitting method (GFM); motion blur; star sensors; TP; 391;
D O I：
10.1007/s12204-018-1943-8
中图分类号：
学科分类号：
摘要：
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. © 2018, Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature.
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收藏
页码：562 / 567
页数：5
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