Abstract
An adaptive algorithm for the identification of the optimal filter gains, when a priori statistical information about the measurement is not available, is applied to the estimation of the states of a synchronous orbit satellite from measurements contaminated with unknown coloured measurement noise. Results of simulation are presented, using this approach with Altaian's unified state model of the orbital trajectory and the corresponding observation model. These results indicate that the proposed algorithm gives fairly accurate estimates of the states from ground-based observations.
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