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Monte Carlo simulation results demonstrate the validity of the theoretical approach developed recently for optimal filter design and tracking filter error analysis for dense multitarget environments. The predicted error divergence phenomenon is shown to be observed experimentally and to be characterized by an increasing frequency of lost tracks as density increases. The whiteness assumption in the miscorrelation model is examined, and the performance degradations obtained using finite gates are presented.
Singer et al. (Fri,) studied this question.