Volume 18, Issue 6 (10-2018)                   Modares Mechanical Engineering 2018, 18(6): 202-211 | Back to browse issues page

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somayehee F, nikkhah A A, roshanina J. Uniform star catalog using triangulation for application in star sensor. Modares Mechanical Engineering. 2018; 18 (6) :202-211
URL: http://mme.modares.ac.ir/article-15-16222-en.html
1- Department of Flight Dynamics & Control, Faculty of Aerospace Engineering, K. N. Toosi University of Technology, Tehran, IRAN
2- professor
Abstract:   (2035 Views)
The size of database and minimum number of visible stars in the field of view of star sensor are two important, influential and contradictory parameters that should be considered in design of star sensor. In this regard, the purpose of this paper is to unify the database using the uniform distribution of points on the celestial sphere with the triangulation method. For this purpose, the choice of the suitable star catalog, minimum suitable magnitude and elimination of double stars are the other steps of the uniformity process that is carried out in this study. Thus, the results of the investigations showed that Delaunay's triangulation method is faster and more accurate than the geodesic grid. Also, by simulating and performing Monte Carlo tests to count the number of stars observed in the different FOVs of a typical sensor, it was found that Delaunay's triangulation leads to a significant reduction of the probability of viewing the high density of the catalog stars in the field of view, so that the probability of observation more than 25 stars in all possible FOVs has reached to zero. On the other hand, for observing 4 or more than 4 stars at a confidence level more than 95% in non-uniform catalog, the field of view needs to be at least 12.5 degrees, while in uniform database; this field is slightly increased to more than 13 degrees. In other words, uniformity has increased the minimum field of view needed to see the minimum number of required stars.
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Article Type: Research Article | Subject: Aerospace Structures
Received: 2018/01/15 | Accepted: 2018/09/24 | Published: 2018/09/24

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