Algorithm-Level Test Bed for Level-One Data Fusion Research (CASE- ATTI)

摘要

This report summarizes part of the research conducted at the Center for Multisource Information Fusion (CMIF) at the State University of New York at Buffalo (SUNY at Buffalo) during the second year of a two-year Air Force Office of Scientific Research (AFOSR)-funded research grant. The overarching research objective of this grant is to provide understanding about the nature of multi- platform and distributed data fusion and the influence that such methods might have on flight-testing of future multi-platform systems at major range facilities such as, in particular, Edwards Air Force Base (the Air Force Flight Test Center, AFFTC), and also with a special focus on Electronic Warfare (EW) aspects and impacts. This particular report describes a simulation-based research tool called 'CASE-ATTI' (Concept Analysis and Simulation Environment for Automatic Target Tracking and Identification) that was used to conduct various other research projects within the overarching grant effort. This tool was graciously provided to CMIF by the Canadian Department of National Defense and the Defense Research Establishment, Valcartier (DREV, Quebec, Canada) in particular, for which we are very grateful. This tool is a state-of-the-art Level 1 data fusion research tool, focused on multisensor, fusion-based techniques for tracking and identification of single objects. It is typical of the type of tools that will be necessary at AFFTC for testing and evaluation of future data fusion-capable flight platforms. This report describes this advanced tool and an example of its application and use in a research task being conducted at CMIF.