Adaptive Estimation of Satellite Attitude via an Entropy Approach, M.Sc. Thesis Sharif University of Technology ; Pourtakdoust , Hossein (Supervisor) ; Kiani, Maryam (Supervisor)
Abstract
Nonlinear state estimation algorithms developed based on Bayesian framework have been increasingly utilized in space navigation and attitude estimation to enhance the mission performance. However, successful implementation of these algorithms requires accurate knowledge of process and measurement noise statistical properties. As the satellites experience various systematic and environmental uncertainties on orbit, no priori information of noise characteristics is usually available. In this regard, adaptive estimation algorithms have been widely utilized to tune the planned noise properties according to the variable working conditions. Among various adaptation methods, innovation-based...
Cataloging briefAdaptive Estimation of Satellite Attitude via an Entropy Approach, M.Sc. Thesis Sharif University of Technology ; Pourtakdoust , Hossein (Supervisor) ; Kiani, Maryam (Supervisor)
Abstract
Nonlinear state estimation algorithms developed based on Bayesian framework have been increasingly utilized in space navigation and attitude estimation to enhance the mission performance. However, successful implementation of these algorithms requires accurate knowledge of process and measurement noise statistical properties. As the satellites experience various systematic and environmental uncertainties on orbit, no priori information of noise characteristics is usually available. In this regard, adaptive estimation algorithms have been widely utilized to tune the planned noise properties according to the variable working conditions. Among various adaptation methods, innovation-based...
Find in contentBookmark |
|