Characterization of Aerosol Inlets and Ducts

Toyon Research proposes to develop a non-cooperative target recognition (NCTR) module that classifies airborne targets based on high-range-resolution (HRR) radar measurements collected by any number of sensors over time. The NCTR module will consist of aclassifier that uses a representation of the target density function at a number of different aspect angles coupled with a fusion module that can fuse multiple measurements collected over time. The fusion module will consist of a Bayesian Network thatupdates beliefs about what type of target is being measured by taking into consideration a priori information regarding the types of airborne objects in an area and the capabilities of the sensors providing measurements. Additionally, the network willconsider the degree to which a particular measurement matches the expected signal of each type of target of interest. We propose to develop an initial version of the NCTR module and provide a demonstration of its capabilities on an example problem duringPhase I.The successful completion of this research will result in the development of an NCTR module that can classify airborne objects using multiple radar measurements collected over time. Non-military applications of this technology include air trafficcontrol, counter-drug operations, and medical diagnostics.