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Monterey, CA; Naval Postgraduate School
The path prediction of cyclones with Kalman filters
Abstract
dc:description.abstractThe 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.
Degree
thesis:*- Department dc:contributor.department
- Electrical and Computer Engineering
- Grantor dc:publisher
- Monterey, CA; Naval Postgraduate School
- Year dc:date.issued
- 1990
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Taskin, Dogan
- Advisor dc:contributor.advisor
-
- Titus, Harold A.
Rights
dc:rights- Statement dc:rights
-
- Copyright is reserved by the copryright owner.
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/10945/34944
- OAI identifier oai:identifier
- oai:calhoun.nps.edu:10945/34944