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Shape, surface parameter, and attitude profile estimation using a multiple hypothesis Unscented Kalman Filter

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14 Scopus citations

Abstract

Multiple hypothesis testing using an underlying Unscented Kalman Filter (UKF) to estimate state parameters has been previously demonstrated where the state includes the attitude, angular rate, position, velocity, and surface parameters of the space object. This algorithm is extended to include multiple components, and multiple bandpasses. An example scenario is presented where the models are proxy geostationary Earth orbit (GEO) satellites with different bus configurations (e.g. cylinder vs. rectangular prism) and in different controlled states (e.g. nadir-tracking vs. inertial).

Original languageEnglish
Title of host publicationAdvances In The Astronautical Sciences
EditorsDonald L. Mackison, Ossama Abdelkhalik, Roby S. Wilson, Renato Zanetti
PublisherUnivelt Inc.
Pages1475-1484
Number of pages10
ISBN (Electronic)9780877036111
StatePublished - 2014
Event24th AAS/AIAA Space Flight Mechanics Meeting, 2014 - Mexico, United States
Duration: Jan 26 2014Jan 30 2014

Publication series

NameAdvances in the Astronautical Sciences
Volume152

Conference

Conference24th AAS/AIAA Space Flight Mechanics Meeting, 2014
Country/TerritoryUnited States
CityMexico
Period01/26/1401/30/14

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