Advanced Algorithms for Radar Data Fusion for Single Integrated Air Picture (SIAP)

The goal of the fusion process is to operate on a combination of sensor measurements, features, track states and object type and identification likelihoods in order to determine a common missile air picture to high degree of accuracy so that the situational awareness results in near optimal utilization of assets to destroy the lethal objects. Thus, the goal of the fusion process is to produce a picture of the air space consisting of the ontology of objects and their positions and velocities. Judicious fusion methods have the potential of synthesizing this picture as precisely and in an as timely manner as possible. We propose to utilize a number of approaches to sensor fusion for discrimination of object types. The TechFinity Decision Architecture is designed to support (1) discrimination by fusion of typing reports, and (2) discrimination by fusion of feature data. Bayes net, Dempster Schafer, and other techniques will be investigated.