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Probability Hypothesis Density (PHD) filter has proven to be a valid algorithm for jointly estimating the time-varying number of targets and their states. However, the filter can only provide the estimates of the set of targets states but not the complete tracks of individual targets. To solve this problem, we present a track extraction method based on the(More)
The Bernoulli filter (BF) is a recursive target tracking mechanism based on the random finite set (RFS) theory. For the tracking of maneuvering target, the changes of target motion model can be solved by using interacting multiple model (IMM) estimator. However, in practical systems, mode transition probabilities may be related to the state and varies with(More)
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