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1 October 1990 Neural network implementation of plot/track association
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Abstract
Plot/track association consists of assigning radar plots to predicted track positions and is an important feature of all track while scan systems. We demonstrate the feasibility of applying neural network technology to the plot/track association problem in such a way as to achieve good global solutions. The plot/track association problem can be structured in a basic framework very similar to that of the classic Travelling Salesman Problem (TSP). Hopfield organization networks have been applied to the TSP by various researchers, but with varying degrees of success because of recurring instability problems. The network presented here seeks to minimize a global cost which is a function of the distances between plots in a given scan of data and the predicted track positions. Additionally, in this paper a novel technique is introduced for helping to alleviate the instability of Hopfield networks.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William F. Smith "Neural network implementation of plot/track association", Proc. SPIE 1305, Signal and Data Processing of Small Targets 1990, (1 October 1990); https://doi.org/10.1117/12.2321775
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