Ballistic missile tracking using the interacting multiple model joint probabilistic data association filter
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Authors
Dunton, Timothy M.
Subjects
Interacting multiple model
joint probabilistic data association filter
ballistic missile
decoy
joint probabilistic data association filter
ballistic missile
decoy
Advisors
Hutchins, Robert G.
Date of Issue
2013-09
Date
Sep-13
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The success of interceptors used by the United States ballistic missile defense program is jeopardized by the use of hostile missile decoy deployment and evasive maneuvers. The ability to discriminate between legitimate threats and decoys is a crucial requirement for interceptor algorithms. The feasibility of the interacting multiple model joint probabilistic data association filter to effectively track a ballistic missile and detect decoys and maneuvers is the focus of this thesis. Model development and data association schemes are discussed along with optimized values for selected parameters. Performance comparisons of the resultant algorithm to a standard Kalman filter utilizing a nearest neighbor discriminator are conducted. Scenarios include combinations of missile maneuver and decoy deployment. While the Kalman filter experiences limited success, the proposed filter tracks the missile in every scenario.
Type
Thesis
Description
Series/Report No
Department
Electrical And Computer Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
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.