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—The approach of using a random matrix for extended object and group target tracking (EOT and GTT) is efficient. Designing and effectively applying this approach rely on modeling the extended object and group targets accurately. To describe complex dynamical variation and practical observation distortion of the extension in size, shape and orientation, two(More)
The state of some practical dynamic systems satisfies constraints, which can be utilized to improve the performance of state estimation. State estimation with nonlinear inequality constraints is a challenging problem. Projection methods are widely used to solve this problem. In this paper, a projection method is formulated as a special nonlinear function.(More)
—For irregular extended object and group target tracking (IEOT and IGTT), using a random matrix to simplify the extension as an ellipsoid, although efficient, may not be accurate without losing useful information in shape and orientation. In view of this, we consider modeling an irregular extended object or target group as a combination of multiple regular(More)
The problem of modeling and estimation for linear equality constrained (LEC) systems is considered. The exact constrained dynamic model usually is not readily available or is too complicated, and hence in many studies an auxiliary dynamic model is employed in which the state does not necessarily obey the constraint strictly. Based on the understanding that(More)
For non-ellipsoidal extended object and group target tracking (NEOT and NGTT), using a random matrix to simplify the extension as an ellipsoid, although efficient, may not be accurate enough because of the loss of useful information in shape and orientation. In view of this, we model a non-ellipsoidal extended object or target group as a combination of(More)
For nonlinear estimation, the linear minimum mean square error (LMMSE) estimator using the measurement augmented by a nonlinear conversion of it can achieve better performance than the LMMSE estimator using the original measurement. The main reason is that the original measurement cannot be fully utilized by the LMMSE estimator in a linear way. To(More)
Joint target tracking and classification (JTC) is a joint decision and estimation (JDE) problem, in which decision and estimation affect each other and good solutions require solving both problems jointly. With the development of modern sensor technology, mixed data from heterogeneous sensors with different characteristics are available. In this paper, we(More)
There are several error metrics for estimation performance evaluation. To rank the performance of estimators, a popular method is using the same error metric of performance. It is not without controversy. First, this ranking method depending on the “marginal” information without considering the “joint” information among the(More)
In this study, the U.S. Navy's Generalized Digital Environmental Model (GDEM) climatological temperature and salinity data on a 0.5Њ ϫ 0.5Њ grid is used to investigate the seasonal variabilities of the Japan/East Sea (JES) thermohaline structure and circulations. The GDEM for the JES was built up on historical (1930–97) 136 509 temperature and 52 572(More)