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A fault tolerant filter applied on magnetometer-based autonomous satellite navigation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Magnetic field vector is a function of the satellite's position. Autonomous LEO satellite navigating can be achieved based on the measurement data of the onboard three-axis magnetometer (TAM). For the orbit estimation based on the measurement of the geomagnetic field vector, when measurement data influenced by outliers, filtering advents deviation, convergence becomes slow and even divergent. Based on the residual orthogonal of EKF (Expanding Kalman Filter), fault tolerant filtering method is given. The instant modifying and fault diagnosis are implemented and the filter obtains stronger robustness. Simulation results show the effectiveness of the method.

Original languageEnglish
Title of host publication1st International Symposium on Systems and Control in Aerospace and Astronautics
Pages597-600
Number of pages4
StatePublished - 2006
Event1st International Symposium on Systems and Control in Aerospace and Astronautics - Harbin, China
Duration: 19 Jan 200621 Jan 2006

Publication series

Name1st International Symposium on Systems and Control in Aerospace and Astronautics
Volume2006

Conference

Conference1st International Symposium on Systems and Control in Aerospace and Astronautics
Country/TerritoryChina
CityHarbin
Period19/01/0621/01/06

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