Fuses all available data using Bayesian inferential reasoning, multiple hypothesis association, and non-Gaussian tracking techniques.  Able to process data from large numbers of diverse Ground Moving Target Indicator (GMTI), Signals Intelligence (SIGINT), Imagery Intelligence (IMINT), Measurement and Signature Intelligence (MASINT), and Human Intelligence (HUMINT) sensors and sources.  Feasibility and effectiveness have been demonstrated using simulated data obtained from AFRL and CECOM.  Produces an accurate and complete situational awareness (SA) picture, easily used and interpreted at all command levels, that includes estimates of the past, current, and future locations of targets of interest and estimates concerning their classification/ID/intentions.  Especially important in urban, mountainous, and forested areas, where contact on the targets, even with a large number of sensors, will be intermittent.