@inproceedings{3178e4f5ec7a43f9be561e4108914d58,
title = "A total least-squares estimate for attitude determination",
abstract = "This paper presents the general total least-squares formulation for the problem of attitude determination from vector observations. Except for a special case, the total least-squares attitude estimation problem cannot be converted to Wahba{\textquoteright}s problem. Two iterative solutions are presented that determine both the attitude matrix and the unit or non-unit vector observations. The associated covariance matrices are also derived under the small error assumption.",
author = "Yang Cheng and Crassidis, \{John L.\}",
note = "Publisher Copyright: {\textcopyright} 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Scitech Forum, 2019 ; Conference date: 07-01-2019 Through 11-01-2019",
year = "2019",
doi = "10.2514/6.2019-1176",
language = "English",
isbn = "9781624105784",
series = "AIAA Scitech 2019 Forum",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Scitech 2019 Forum",
}