@inproceedings{649d082bb99c48bdb873e97f197a4264,
title = "Space object mass-specific inertia matrix estimation from photometric data",
abstract = "This works investigates the problem of estimating the scaled inertia parameters of a space object using photometric and astrometric data. The inertia matrix is parameterized in terms of the relative scaled inertias and the orientation of the principal components because the system is not completely observable. A Unscented Kalman Filter (UKF) is presented that processes the lightcurve (single band photometric) and angles (astrometric) data to estimate the orientation, rotational rates, position, and velocity of the space object (SO) along with the scaled inertia parameters.",
author = "Richard Linares and Leve, {Fred A.} and Jah, {Moriba K.} and Crassidis, {John L.}",
year = "2012",
language = "English (US)",
isbn = "9780877035855",
series = "Advances in the Astronautical Sciences",
pages = "41--54",
booktitle = "Guidance and Control 2012 - Advances in the Astronautical Sciences",
note = "35th Annual AAS Rocky Mountain Section Guidance and Control Conference ; Conference date: 03-02-2012 Through 08-02-2012",
}