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The path prediction of cyclones with Kalman filters

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Author
Taskin, Dogan
Date
1990-09
Advisor
Titus, Harold A.
Second Reader
Burl, Jeffrey B.
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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.
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Copyright is reserved by the copryright owner.
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http://hdl.handle.net/10945/34944
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  • 1. Thesis and Dissertation Collection, all items

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    Comparison of channel equalization filtering techniquies in underwater acoustic communications 

    Kuchler, Ryan J. (Monterey, California: Naval Postgraduate School, 2002-06);
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