Thesis (Ph. D. in Operations Research)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): R. Kevin Wood, Moshe Kress. Includes bibliographical references (p. 91-93). Also available online.

Report (M.S.)--Virginia Polytechnic Institute and State University, 1993. / Vita. Abstract. Includes bibliographical references (leaves 92-94). Also available via the Internet.

Thesis (M.S. in Applied Physics)--Naval Postgraduate School, June 2005. / Thesis Advisor(s): William Colson. Includes bibliographical references (p. 97-98). Also available online.

The goal of this work to quantify the benefits integrating a shipboard radar system with the ship's electronic warfare (EW) system terms of increased effectiveness of chaff decoys against sea skimmimg missiles. Present shipboard EW and radar systems have been developed independently because of the functions or tasks they serve. By interfacing the two systems, chaff could now be launched based on radar data as well as based on Electronic Support Measures (ESM) data, resulting in increased ship survivability. <p>This project and report first addresses a need (section II) for a more adequate defense system against sea skimming missiles. Interfacing the EW and radar systems is suggested as a way to increase ship survivability. A dynamic, closed loop software model which includes the ship, missile, chaff, radar, and ESM sensors was developed to test this hypothesis. A description of this model is presented in section III. Results of the analysis is presented in section IV and concluding remarks are in section V. / Master of Science

Approved for public release; distribution is unlimited / In the boost phase interception of ballistic missiles, determining the exact position of a ballistic missile has a significant importance. Several sensors are used to detect and track the missile. These sensors differ from each other in many different aspects. The outputs of radars give range, elevation and azimuth information of the target while space based infrared sensors give elevation and azimuth information. These outputs have to be combined (fused) achieve better position information for the missile. The architecture that is used in this thesis is decision level fusion architecture. This thesis examines four algorithms to fuse the results of radar sensors and space based infrared sensors. An averaging technique, a weighted averaging technique, a Kalman filtering approach and a Bayesian technique are compared. The ballistic missile boost phase segment and the sensors are modeled in MATLAB. The missile vector and dynamics are based upon Newton's laws and the simulation uses an earth-centered coordinate system. The Bayesian algorithm has the best performance resulting in a rms missile position error of less than 20 m. / 1st Lieutenant, Turkish Air Force

Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, June 2003. / Thesis advisor(s): David S. Yost, James J. Wirtz. Includes bibliographical references. Also available online.

Thesis (M.S.)--School of Advanced Air and Space Studies, 2008. / "June 2008." Title from cover. Vita. Includes bibliographical references (p. 50-53). Also available via the Internet.

Thesis (M.S.)--Naval Postgraduate School, Sept. 2004. / Title from title screen (viewed June 24, 2005). "September 2004." Includes bibliographical references (p. 73-74). Also issued in paper format.

Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, Sept. 2004. / Thesis advisor(s): Phillip E. Pace, Murali Tummala. Includes bibliographical references (p. 73-74). Also available online.

Thesis (M.S.)--Naval Postgraduate School, 2002. / Thesis advisor(s): Jerry L. McCaffery, Rodney E. Tudor. "AD-A403 151." Includes bibliographical references (p. 87-91). Also available online.