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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)
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)
The second part of this work investigates the seasonal variabilities of the Japan/East Sea (JES) circulation using the U.S. Navy Generalized Digital Environmental Model (GDEM) climatological temperature and salinity dataset (public domain) on a 0.5Њ ϫ 0.5Њ grid. A variational P-vector method was developed to invert the velocity field. The GDEM for the JES(More)