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A Survey of Lost-in-Space Star Identification Algorithms Since 2009
Open AccessArticle

Non-Dimensional Star-Identification

Aerospace Engineering, Texas A&M University, College Station, TX 77843, USA
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Author to whom correspondence should be addressed.
This paper is an extended version of the published conference paper “Leake, C.; Mortari, D. Recursive and Non-Dimensional Star Identification. In Proceedings of the AIAA/AAS Astrodynamics Specialist Conference (AAS 19-609), Portland, ME, USA, 11–15 August 2019.”
Sensors 2020, 20(9), 2697;
Received: 30 March 2020 / Revised: 5 May 2020 / Accepted: 6 May 2020 / Published: 9 May 2020
(This article belongs to the Special Issue Attitude Sensors)
This study introduces a new “Non-Dimensional” star identification algorithm to reliably identify the stars observed by a wide field-of-view star tracker when the focal length and optical axis offset values are known with poor accuracy. This algorithm is particularly suited to complement nominal lost-in-space algorithms, which may identify stars incorrectly when the focal length and/or optical axis offset deviate from their nominal operational ranges. These deviations may be caused, for example, by launch vibrations or thermal variations in orbit. The algorithm performance is compared in terms of accuracy, speed, and robustness to the Pyramid algorithm. These comparisons highlight the clear advantages that a combined approach of these methodologies provides. View Full-Text
Keywords: star identification; non-dimensional; Pyramid; n-dimensional k-vector star identification; non-dimensional; Pyramid; n-dimensional k-vector
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MDPI and ACS Style

Leake, C.; Arnas, D.; Mortari, D. Non-Dimensional Star-Identification. Sensors 2020, 20, 2697.

AMA Style

Leake C, Arnas D, Mortari D. Non-Dimensional Star-Identification. Sensors. 2020; 20(9):2697.

Chicago/Turabian Style

Leake, Carl; Arnas, David; Mortari, Daniele. 2020. "Non-Dimensional Star-Identification" Sensors 20, no. 9: 2697.

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