Data Fusion in Space Surveillance: Physics, Modeling, Tracking &amp;amp; Classification

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2006Publisher:IEEEJournal:2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems

Authors: Felix Opitz;

doi: 10.1109/mfi.2006.265659

Data Fusion in Space Surveillance: Physics, Modeling, Tracking & Classification

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Abstract

Data Fusion for the surveillance of space objects is distinguished through the complicated physical environment. The dynamics depends on the phase of the object, like boost, coasting, stationary orbit, or reentry. Sequential Monte Carlo methods are addressed to the tracking and classification problem of space objects within those phases.

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