Space object mass-specific inertia matrix estimation from photometric data

Richard Linares, Fred A. Leve, Moriba K. Jah, John L. Crassidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationGuidance and Control 2012 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the 35th Annual AAS Rocky Mountain Section Guidance and Control Conference
Pages41-54
Number of pages14
StatePublished - 2012
Event35th Annual AAS Rocky Mountain Section Guidance and Control Conference - Breckenridge, CO, United States
Duration: Feb 3 2012Feb 8 2012

Publication series

NameAdvances in the Astronautical Sciences
Volume144
ISSN (Print)0065-3438

Other

Other35th Annual AAS Rocky Mountain Section Guidance and Control Conference
CountryUnited States
CityBreckenridge, CO
Period2/3/122/8/12

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