A Dialectic Approach to Moving Target Indicator Correlation

Bevilacqua Research Corporation (BRC), a woman-owned, small corporation based in Huntsville, AL, and Mystech Associates Inc., of Falls Church, VA, propose to jointly design and develop a unique robust information correlation architecture for MTI data based upon Dialectic (Bounded) Neural Networks. This Phase I effort will utilize the existing Phoenix C4I software as a COTS framework for the Bounded Neural Network architecture to create a robust correlation architecture that can be used for both military and civilian applications where intelligent management of MIT and other types of dynamic data is needed.]The Bounded Neural Network is unique because it allows the use of cognitive (expert) knowledge with neural networks. This hybrid architecture, developed by BRC was tested and demonstrated in 1994 as a smart Battle Damage Assessment tool. Since that time BRC has improved the basic concept through internal reserarch and development to allow it to be appled to other data correlation and management tasks such as MIT correlation.