Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking
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Authors
Galinis, William J.
Subjects
Kalman filter
smoothing
HFDF
storm tracking
smoothing
HFDF
storm tracking
Advisors
Titus, Harold A.
Date of Issue
1989-03
Date
March 1989
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
The performance of an extended Kalman filter used to track a maneuvering surface target using HFDF lines-of-bearing is substantially improved by implementing a fixed interval smoothing algorithm and a maneuver detection method that uses a noise variance estimator process. This tracking routine is designed and implemented in a computer program developed for this thesis. The Hall noise model is used to accurately evaluate the performance of the tracking algorithm in a noisy environment. Several tracking scenarios are simulated and analyzed. The application of the Kalman tracker to a tropical storm tracking is investigated. Actual storm tracks obtained from the Joint Typhoon Warning Center in Guam, Mariana Islands are used for this research
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
90 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.