The path prediction of cyclones with Kalman filters

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90Sep_Taskin.pdf (1.92 MB)
Authors
Taskin, Dogan
Subjects
Kalman Filter
path prediction of cyclones
Turkey
Advisors
Titus, Harold A.
Date of Issue
1990-09
Date
1990-09
Publisher
Monterey, California: Naval Postgraduate School
Language
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.
Type
Thesis
Description
URI
https://hdl.handle.net/10945/34944
Series/Report No
Department
Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
vi, 73 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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Copyright is reserved by the copryright owner.
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