Including state excitation in the fixed-interval smoothing algorithm and implementation of the maneuver detection method using error residuals

Approved for public release; distribution is unlimited. === 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...

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Bibliographic Details
Main Author: Sevim, Alaettin
Other Authors: Titus, Harold A.
Published: Monterey, California: Naval Postgraduate School 2013
Online Access:http://hdl.handle.net/10945/27667
Description
Summary:Approved for public release; distribution is unlimited. === 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.