Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking
By:  William J. Galinis
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1989
Place of publication: Monterey, California
Language: eng
Number of pages: 90
Description: 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.
Notes: Thesis advisor(s): Titus, Harold A.

"March 1989."

Thesis (M.S. in Electrical Engineering) : Naval Postgraduate School, March 1989.

Includes bibliographic references.

Approved for public release; distribution unlimited.