Estimation Methods for Space Situational Awareness

Friday, March 1, 2013 - 1:25pm - 2:25pm
Lind 305
Aleksandar Zatezalo (Scientific Systems Company, Inc.)
The state and observation equations of space objects are nonlinear and therefore it is hard to estimate the conditional probability density of the space object trajectory states given EO/IR, radar or other nonlinear observations. Moreover, space object trajectories can suddenly change due to abrupt changes in the parameters affecting a perturbing force or due to unaccounted forces. Such trajectory changes can lead to the loss of existing tracks and may cause collisions with vital operating space objects such as weather or communication satellites. In this talk, Scientific Systems Company, Inc. (SSCI) and Lockheed Martin Corporation (LMCO) joint work on algorithms and methods for Space Situational Awareness (SSA) is presented including problem formulation, derivation of mathematical methods for modeling and estimation of space-based object states, derivation of observation models, estimation algorithm derivation, numerical implementations, simulation testbed, and simulation results. The presented estimation methods will aid in preventing the occurrence of collisions in space and also provide warnings for collision avoidance.

Aleksandar Zatezalo is a Senior Research Engineer at Scientific Systems Company, Inc (SSCI), located in Woburn, Massachusetts. Dr. Zatezalo received a Ph.D. in Mathematics from the University of Minnesota, Minneapolis in 1998 under the supervision of Nicolai Vladimirovic Krylov. From 1998 to 2000, he worked on Research and Development (R&D) projects for Lockheed Martin Corporation (LMCO) as a IMA postdoctoral member. In 2000/2001 academic year, he worked for Siemens AG Corporate Technologies in Munich as an industrial postdoctoral fellow. After habilitation, he held the academic position of Docent at the University of Rijeka, Croatia, where he was lecturing in Linear Algebra, Logic, Theory of Probability, and Statistics. From February to November of 2003, he was a visitor Research Associate at the Florida State University. Since then, he has been working at SSCI on R&D projects for the U.S. Air Force, Missile Defense Agency, DARPA, NASA, and the Navy. Dr. Zatezalo's experience includes target tracking and classification, multisensor-multitarget tracking and estimation, game theory applications, nonlinear filtering, information fusion, sensor management situational awareness, space situation awareness, image-based estimation, information fusion, high precision navigation, and cold atom interferometry.