Any implementation of a real-time tracking system is subject to capacity constraints in terms of how many
measurements or tracks that can be processed per unit time. This paper addresses the problem of selecting which
measurements or tracks should be discarded to maximize the expected number of targets of interest being both tracked
and correctly associated with remote datasets. In particular, the problem is addressed when only a single dataset is
available.
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