Abstract
Estimation of satellite three-axis attitude using only one sensor data
presents an interesting estimation problem. A flexible and mathematically
effective filter for solving the satellite three-axis attitude estimation
problem using two-axis magnetometer would be a challenging option for
space missions which are suffering from other attitude sensors failure.
Mostly, magnetometers are employed with other attitude sensors to resolve
attitude estimation. However, by designing a computationally efficient
discrete Kalman filter, full attitude estimation can profit by only
two-axis magnetometer observations. The method suggested solves the
problem of satellite attitude estimation using linear Kalman filter (LKF).
Firstly, all models are generated and then the designed scenario is
developed and evaluated with simulation results. The filter can achieve
10e-3 degree attitude accuracy or better on all three axes.
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Authors and Affiliations
Mohamad Fakhari Mehrjardi