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Estimation fusion performance with the effect of correlation is analyzed. First, the correlation type is classified into two categories: same source correlation and different source correlation. Second, with the best linear unbiased estimation (BLUE) criteria, the scalar case is analyzed with the effect of correlation. For the same source correlation, with the same absolute value, the fusion result...
It is known that multitarget states cannot be directly derived from the particle probability hypothesis density (particle-PHD) filter. Therefore, some cluster algorithms are used to extract the states from the particles. Actually, these algorithms become a crucial step in how to cluster the particles effectively and robustly in the particle-PHD filter. A novel multitarget state extraction algorithm...
Ba-Tuong-Vo et al proposed a Bayes filter of single target in the random finite set framework. In this paper, we first extend the parameter mixture models (PMM) to state mixture models(s). And further an alternative derivation of a Bayesian tracking filter in clutter is proposed for single target. The key of the proposed algorithm is to derive the measurement likelihood function based on finite mixture...
In this paper, we propose a second-order divided difference (DD2) filter for ballistic target tracking in the re-entry phase. The DD2 filter linearizes the nonlinear dynamic and measurement functions by using a second-order interpolation formula to approximate the derivatives of nonlinear functions. We compare the new method, extended Kalman filter (EKF) and unscented Kalman filter (UKF) using a Monte...
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