Analysis and Improvement of the Grid Algorithm for Autonomous Star Identification

2016 ◽  
Vol 53 (2) ◽  
pp. 021002 ◽  
Author(s):  
唐武盛 Tang Wusheng ◽  
杨建坤 Yang Jiankun ◽  
衣文军 Yi Wenjun ◽  
贾辉 Jia Hui ◽  
程攀攀 Cheng Panpan
Keyword(s):  
Star Identification ◽  
Grid Algorithm

Three-dimensional grid algorithm for all-sky autonomous star identification

2012 ◽  
Author(s):  
Wen-jun Yi ◽  
Hai-bo Liu ◽  
Jian-kun Yang ◽  
Hui Jia ◽  
Li-xin Yang
Keyword(s):  
Three Dimensional ◽  
Star Identification ◽  
Grid Algorithm

A grid algorithm for autonomous star identification

1997 ◽  
Vol 33 (1) ◽  
pp. 202-213 ◽  
Author(s):  
C. Padgett ◽  
K. Kreutz-Delgado
Keyword(s):  
Star Identification ◽  
Grid Algorithm

scholarly journals Star Identification Based on Multilayer Voting Algorithm for Star Sensors

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3084
Author(s):  
Meiying Liu ◽  
Xin Wei ◽  
Desheng Wen ◽  
Hu Wang
Keyword(s):  
Attitude Determination ◽  
Singular Values ◽  
Identification Process ◽  
Verification Method ◽  
Match Process ◽  
Star Identification ◽  
Grid Algorithm ◽  
Verification Process ◽  
Initial Results ◽  
Initial Match

This paper describes the multilayer voting algorithm, a novel autonomous star identification method for spacecraft attitude determination. The proposed algorithm includes two processes: an initial match process and a verification process. In the initial match process, a triangle voting scheme is used to acquire candidates of the detected stars, in which the triangle unit is adopted as the basic voting unit. During the identification process, feature extraction is implemented, and each triangle unit is described by its singular values. Then the singular values are used to search for candidates of the imaged triangle units, which further improve the efficiency and robustness of the algorithm. After the initial match step, a verification method is applied to eliminate incorrect candidates from the initial results and then outputting the final match results of the imaged stars. Experiments show that our algorithm has more robustness to position noise, magnitude noise, and false stars than the other three algorithms, the identification speed of our algorithm is largely faster than the geometric voting algorithm and optimized grid algorithm. However, it takes more memory, and SVD also seems faster.

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