A Kalman filter with smoothing for hurricane tracking and prediction
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The performance of a Kalman filter used to track a hurricane was substantially improved by implementing a fixed interval smoothing algorithm. This tracking routine was designed and implemented in a microcomputer program. Several tracking scenarios were simulated and analyzed. Actual storm tracks obtained from the Joint Typhoon Warning Center in Guam, Mariana Islands, were used for this research. The application of the Kalman tracker to a tropical storm's wind speed tracking was also investigated by using the best track data and observed data
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Fletcher, Harold Grove, Jr. (Monterey, California. U.S. Naval Postgraduate School, 1967-12);This thesis is concerned with a comparative study of discrete time filters using the theories of Wiener-Kolmogorov, Bode-Shannon, and Kalman, applied to the filtering of a non-stationary random signal to the presence of ...
Frontera, Paul J. (Monterey, California: Naval Postgraduate School, 2016-09);Nonlinear estimators based on the Kalman filter, the extended Kalman filter (EKF) and unscented Kalman filter (UKF) are commonly used in practical application. The Kalman filter is an optimal estimator for linear systems; ...
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