Nonlinear orbit uncertainty prediction and rectification for space situational awareness

Nonlinear orbit uncertainty prediction and rectification for space situational awareness

A new method for predicting the uncertainty in a nonlinear dynamical system is developed and analyzed in the context of uncertainty evolution for resident space objects (RSOs) in the near-geosynchronous orbit regime under the influence of central body gravitational acceleration, third body perturbat...

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Bibliographic Details
Main Author: DeMars, Kyle Jordan
Format: Others
Language:English
Published: 2011
Subjects:
Nonlinear estimation
Kalman filter
Space situational awareness
Gaussian mixture models
Dynamics modeling
Gravitational acceleration
Online Access:http://hdl.handle.net/2152/ETD-UT-2010-12-2596

Internet

http://hdl.handle.net/2152/ETD-UT-2010-12-2596

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