@inproceedings{5a3129ee931e4defb2d89ce9e25e65ac,
title = "A novel quaternion Kalman filter",
abstract = "This paper presents a novel Kalman filter for estimating the attitude-quaternion from vector measurements. Employing a special manipulation of the measurement equation results in a linear pseudo-measurement equation whose error is state dependent. Because the quaternion kinematics equation is linear, the combination of the two yields a linear Kalman filter. In order to improve the convergence property of the filter, brute-force normalization of the estimated quaternion is added to the filter, which requires adding compensation to the estimation error covari-ance matrix. An adaptive version of the filter is also developed to handle modeling errors of the dynamic system noise statistics. Monte-Carlo simulations are carried out which demonstrate the efficiency of both versions of the filter.",
author = "D. Choukroun and Bar-Itzhack, {I. Y.} and Y. Oshman",
year = "2002",
month = jan,
day = "1",
doi = "10.2514/6.2002-4460",
language = "English",
isbn = "9781563479786",
series = "AIAA Guidance, Navigation, and Control Conference and Exhibit",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "AIAA Guidance, Navigation, and Control Conference and Exhibit",
note = "AIAA Guidance, Navigation, and Control Conference and Exhibit 2002 ; Conference date: 05-08-2002 Through 08-08-2002",
}