Kalman filters reportedly came to prominence in the early years of the space program as a result of their success in definitively tracking space exploration vehicles. Kalman filters are mathematical processes first applied to extract vehicular courses or trajectories from noise-filled, measured radio-telemetry navigational data. Navigational data involves numerous degrees of freedom, such as roll, pitch, and yaw combined with forward, sideways, and vertical motions. Following a vehicle motion involves ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
R. J. SmytheAdvanced Arduino Techniques in Sciencehttps://doi.org/10.1007/978-1-4842-6784-4_1010. The Kalman Filter
Richard J. Smythe1
(1)
Wainfleet, ON, Canada
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