Ballistic missile tracking using the interacting multiple model joint probabilistic data association filter

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.

Department dc:contributor.department

Electrical and Computer Engineering (ECE)

Grantor dc:publisher

Monterey, CA; Naval Postgraduate School

Year dc:date.issued

2013

Author dc:creator

• Dunton, Timothy M.

Advisor dc:contributor.advisor

• Hutchins, Robert G.

Statement dc: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.

Handle dc:identifier.uri

https://hdl.handle.net/10945/37618

OAI identifier oai:identifier

oai:calhoun.nps.edu:10945/37618