Non-Dimensional Star-Identification
Name
sensors-20-02697-v2.pdf
Size
456.97 KB
Format
Adobe PDF
Checksum (MD5)
dce25ba36293e4be50f0093fc41ce1c1
Author(s)
Leake, Carl
Arnas Martinez, David
Mortari, Daniele
Date Issued
May 2020
Journal
Sensors
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Leake, Carl, David Arnas,and Daniele Mortari. "Non-Dimensional Star-Identification." Sensors, 20, 9 (May 2020): 2697. © 2020 the Author(s)
Version
Final published version
Abstract
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. Keywords: star identification; non-dimensional; Pyramid; n-dimensional k-vector
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/s20092697
