Track Correlation

The key to successful track correlation, and early intercept, is to discriminate between observations of multiple threats, eliminate false tracks, and characterize each threat prior to ingestion of angles-angles data into a tracking filter framework. SciTec"s novel approach to this challenge is to extract features that are available only during the boost phase, fuse these features with track data to establish unambiguous characterization, and then fuse this information with data from other sources. This approach allows for rapid prioritization of additional data needs (i.e. cueing), subsequent ingest of cued data and calculations of tracks with potentially sufficient precision to develop predicted intercept points for target engagement. SciTec has identified an initial set of features available in Overhead Persistent Infrared (OPIR) and Unmanned Aircraft System (UAS) electro-optical/infrared (EO/IR) measurements that can be used to enhance track correlation performance through our Feature-Aided Multi-sensor OPIR/UAS Software (FAMOUS). SciTec will further develop and demonstrate the FAMOUS capability for extraction of features, correlation of features, and multi-target tracking during complex raid scenarios.