DocumentCode
2981476
Title
Data Fusion in Space Surveillance: Physics, Modeling, Tracking & Classification
Author
Opitz, Felix
Author_Institution
Defence & Commun. Syst., EADS, Ulm
fYear
2006
fDate
Sept. 2006
Firstpage
237
Lastpage
242
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
Keywords
Monte Carlo methods; astronomical techniques; astronomy computing; sensor fusion; surveillance; tracking; data fusion; endo-atmospheric phase; modern filter methods; reentry vehicle; sequential Monte Carlo methods; space objects classification problem; space objects tracking; space surveillance; Aerodynamics; Aerospace control; Atmospheric modeling; Gravity; Physics; Radar tracking; Sensor fusion; Surveillance; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems, 2006 IEEE International Conference on
Conference_Location
Heidelberg
Print_ISBN
1-4244-0566-1
Electronic_ISBN
1-4244-0567-X
Type
conf
DOI
10.1109/MFI.2006.265659
Filename
4042076
Link To Document