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Fuzzy logic approach to multitarget tracking in clutter

Fuzzy logic is a discipline which seeks to provide a framework for imitating human-like thought processes, or 'approximate reasoning.' In this paper a fuzzy logic approach is taken to the problem of multitarget tracking in clutter. Fuzzy logic methods are used to evaluate returns for processing by a Kalman filter modified to treat target source uncertainty. The method is developed and demonstrated with a noise-driven simulation and an actual sequence of infrared images.