Including state excitation in the fixed-interval smoothing algorithm and implementation of the maneuver detection method using error residuals
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Authors
Sevim, Alaettin
Subjects
Kalman filter
smoothing
noise process
maneuver detection
smoothing
noise process
maneuver detection
Advisors
Titus, Harold A.
Date of Issue
1990-12
Date
December 1990
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The effects of the state excitation matrix Q underlined sub k in the smoothing routine of an extended Kalman filter is investigated. A new algorithm to derive the Q underlined sub k matrix is also developed. In addition, the accuracy of the filter was substantially improved by implementing a new maneuver detection technique. Several tracking scenarios are simulated and analyzed for noise free and noisy cases and statistical data are obtained for the maneuver detection technique. The program codes are included as appendices.
Type
Thesis
Description
Series/Report No
Department
Department of Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
ix, 101 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright reserved by the copyright owne