University of Arizona 3 credits Aerospace & Mechanical Engr
Theory of batch and sequential (Kalman) filtering as applied to the optimal estimation of spacecraft orbit and attitude, including a review of necessary concepts of probability and statistics. Information filters, smoothing, consider covariance analysis, and introduction to nonlinear filtering. Course work includes a term project that allows students to apply theory to an actual spacecraft orbit determination problem using real ranging data.
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