@inproceedings{4f3972001b1d4c959bb5fcd4bb1fbdf4,
title = "Magnetometer-Based Attitude Determination Using Common-Frame Filtering with Unobservable Parameter Consideration",
abstract = "In this work, a common-frame state estimation routine is adapted to accommodate unobservable parametric quantities. Using the traditional approach taken in consider or Schmidt Kalman Filtering, pseudo-states are augmented in filter design to accommodate quantities that are undesirable to be updated via measurements. The filter is derived to provide frame consistency for both traditional and pseudo-states. When applied to magnetometer attitude estimation of spacecraft, simulation results using the consider common-frame filter yield more consistent state estimates with the added benefit of faster state convergence as compared to the standard consider filter. The resulting consider common-frame filter has wide utility to nonlinear systems with lightly observable or unobservable parameters while maintaining a common-frame formulation.",
author = "Steven Szklany and Crassidis, \{John L.\}",
note = "Publisher Copyright: {\textcopyright} 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA SciTech Forum and Exposition, 2023 ; Conference date: 23-01-2023 Through 27-01-2023",
year = "2023",
doi = "10.2514/6.2023-2316",
language = "English",
isbn = "9781624106996",
series = "AIAA SciTech Forum and Exposition, 2023",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA SciTech Forum and Exposition, 2023",
}