We propose to study the variability of current GMTI pose estimates, study whether external or acquired factors my improve pose such as terrain maps, road maps, and vehicle speed and maneuverability esimates. Aslo we propose to explore the feasibility of using the preliminary steps of our SCAT modeling process to improve pose estimates. The first step of the SCAT modeling process uses tomography (inverse radon transform) to create a potential scatterer map. This map locates the potential locations of three-dimensional scatterers. When the pose angles are slightly off the potential scatterer map becomes blurred. Auto-focusing techniques may have the potential of improving pose by using the pose parameters of the HRR observations as the focusing parameters. The proposed technology may be used for: assembly line inspection facilities, Improved medical tomographic imaging, and as a DOD fielded technology. Since SCAT model is to be tested with the AMSTE-II DARPA program there is a vehicle for the transfer of the pose estimation technology to be fielded into the DARPA system.
