@inproceedings{1e3309f3995c4d49bbf0f6c1b6e73b26,
title = "Asymptotically optimal attitude and rate bias estimation with guaranteed convergence",
abstract = "A recent advance in attitude filtering has been the formulation of a simple, asymptotically optimal attitude estimation algorithm with guaranteed convergence from almost any initial condition. The robust convergence of the algorithm relies on creating a linear measurement model from unit vector observations, and consistently mapping the 3 × 3 covariance estimate from one estimated quaternion tangent space to the next. This paper extends the algorithm to estimate both attitude and rate sensor bias.",
author = "Reid Reynolds and Markley, \{F. Landis\} and Crassidis, \{John L.\}",
year = "2008",
language = "English",
isbn = "9780877035480",
series = "Advances in the Astronautical Sciences",
pages = "465--475",
booktitle = "The F. Landis Markley Astronautics Symposium - Advances in the Astronautical Sciences",
note = "American Astronautical Society F. Landis Markley Astronautics Symposium ; Conference date: 29-06-2008 Through 02-07-2008",
}