Man-Machine Model for ATR Performance Prediction

The primary objective of the Phase I study is to establish the system architecture for an Automatic Target Recognizer Operator/System Model (ATR-OSM) for conducting system-level performance analyses of existing of planned ATR systems. The ATR-OSM architecture will make explicit representation of the four-key ATR system components: 1) the combat environment in which the ATR opertores; 2) the ATR sensor suite and processor; 3) the ATR operator display/control interface; and 4) the operator. The model formalizes a number of component operator functions including data fusion, situation assessment, decision-making, and procedure execution. Implementatin of ATR-OSM wll take advantage of a number of key technologies, including: third-generation operator/system modeling; articicial neural networks for pattern recognition functions; expert systems for decison-aiding and procedureal modeling; and object-oriented languages for rapid simulation prototyping. The envisioned ATR-OSM will support pre-simulation evaluation of candidate ATR automation concept, iterative refinement, and post-simulation design validation. 1) Our Phase I study will establish the architecture and define component models; 2) specify the key implementation technologies and software development environment; 3) conduct a limited-scope feasibility demonstration; and 4) generate specifications for a validate Phase II prototype.