The path prediction of cyclones with Kalman filters
90Sep_Taskin.pdf (1.915Mb)Abstract
The Kalman filter is used to provide estimates of the position and velocity of a storm based upon observation of the storm's longitude and latitude. Nonstationary noise is shown to degrade the performance of the filter and cause tracking divergence. Time varying values for the noise covariance matricies R and Q, and the addition of an external forcing function to the filter, effectively compensated for this tracking error. Results for the simulations show significant performance advantages of using an external forcing function in the system.
Rights
Copyright is reserved by the copryright owner.Collections
Related items
Showing items related by title, author, creator and subject.
-
Comparison of channel equalization filtering techniques in underwater acoustic communications
(Monterey California. Naval Postgraduate School, 2002-06);In this thesis, underwater acoustic communications signal processing techniques, which are used to equalize the distortional effects associated with the ocean as a communications channel, are investigated for a shallow ... -
Comparison of channel equalization filtering techniquies in underwater acoustic communications
(Monterey, California: Naval Postgraduate School, 2002-06);In this thesis, underwater acoustic communications signal processing techniques, which are used to equalize the distortional effects associated with the ocean as a communications channel, are investigated for a shallow ... -
An adaptive recursive filter.
(Monterey, California. Naval Postgraduate School, 1977-12);An adaptive recursive digital filter is presented in which feedback and feedforward gains are adjusted adaptively to minimize a least square performance function on a sliding window averaging process. A two-dimensional ...
