The Center in Multisource Information Fusion (CMIF) at the
State University of New York at Buffalo ("UB"), has been involved in the development of a tracking Testbed under the sponsorship of ONR/SSC. This project was in part stimulated by the earlier work carried out at Orincon, sponsored by NRaD. This Testbed was developed as a tool within which to study alternative methods for tracking submarines which are detected by systems of sensor arrays deployed in littoral environments. There are various characteristics of this Anti-submarine Warfare (ASW) problem that create difficulties in developing technically optimal yet cost-effective solutions to the target tracking problem, e.g.:among other factors. Additionally, the trend toward low-cost,
compact sensor nodes provides a requirement that the tracking algorithm be computationally efficient. A solution to such problems, i.e., the identification and evaluation of candidate tracking algorithms for such problems, is not feasible from a strictly analytically point of view. Thus, such problems are frequently examined empirically and parametrically. Accordingly, we have designed a Testbed within which such problems can be efficiently studied. The Testbed provides a graphical user interface to control the simulation environment and to conduct comparisons.The following animation displays a submarine moving through a field of four sensors, denoted by there detection range as spheres. Subsequently, the current measurement of the "true" position and the predicted position are shown, which is than compared to the actual position of the submarine.
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