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This paper develops a new optimal tracking filter that accounts for and minimizes the effects of correlation uncertainties in surveillance systems. This filter reduces to the Kalman filter in the limiting case of no correlation errors and infinite gate sizes, and provides substantially improved performance in environments wherein correlation uncertainties cannot be ignored.
Singer et al. (Wed,) studied this question.