Volume 6, Issue 2 (Journal of Control, V.6, N.2 Summer 2012)
JoC 2012, 6(2): 15-21 |
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Roshanian J, Yazdani S, Hassani M, Ebrahimi M. Performance Analysis of Nasir 1 Star Tracker in the Presence of Systematic Errors using Monte-Carlo Method. JoC 2012; 6 (2) :15-21
URL: http://joc.kntu.ac.ir/article-1-57-en.html
URL: http://joc.kntu.ac.ir/article-1-57-en.html
Abstract: (11184 Views)
Non-Dimensional star pattern recognition is a novel algorithm which an overall system error analysis in order to determine its robustness is not performed for it so far. Although the mentioned algorithm is independent of Focal length and optical offset variations, its operational usage is still bounded. In this research, algorithm’s robustness is determined using an overall error effect of bright point coordinate variations. The results demonstrate that the non-dimensional algorithm performance is pretty fragile in the presence of a common 0.1 pixel error, which makes the algorithm unable to perform onboard Nasir 1 star tracker. Eventually the algorithm was modified and the results show great improvements.
Keywords: Star Tracker, Star Pattern Recognition, Non-Dimensional method, K-vector search technique.
Type of Article: Research paper |
Subject:
Special
Received: 2014/06/13 | Accepted: 2014/06/13 | Published: 2014/06/13
Received: 2014/06/13 | Accepted: 2014/06/13 | Published: 2014/06/13
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