Radio Frequency Infrared (RF-IR) Data Fusion

Under the Phase I effort, a set of algorithms were developed/enhanced that, when integrated into a fused track and characterization schema, are capable of realizing the full potential performance afforded by the battle manager having multiple sensors. dBWager is a multi-sensor measurement correlation algorithm that provides highly accurate state vector estimates and provides the correlation of electro-optic/infrared (EO/IR) and radiofrequency (RF) measurements to facilitate a true fused classification algorithm. dBTASM provides rapid RF object classification. 3D-Pose provides three dimensional (3D) position recovery from passive two dimensional (2D) imagery. Under the Phase II effort these prototype algorithms will be matured and evaluated in the Collaborative Test and Evaluation Center (CTEC). Additionally, new classification EO/IR algorithms will be developed, based on feature surface manifolds identified in the Phase I effort, that leverage the early RF classification that dBTASM provides. Approved for Public Release 14-MDA-7739 (18 March 14).