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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 targets' topology information. Simulation...
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 time, it is unreasonable to assume constant...
Filtering techniques has been widely used in digital signal processing field. For a great diversity of filtering algorithms, it is necessary to assess the performance of filters in different situations by using appropriate performance evaluation metrics. However, the adopted metrics are quite simplex generally in the measuring and evaluating of filtering algorithms, and the metrics mostly limit to...
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