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This paper uses a Kalman filter with retrospective cost–based input estimation (KF/RCIE) to track maneuvering targets with unknown acceleration. Unlike conventional tracking methods that model the acceleration as a random process, KF/RCIE views the unknown acceleration as a deterministic unknown signal. Retrospective cost optimization is then used to estimate the unknown acceleration. Numerical examples...
In Kriging interpolation, the types of variogram model are very finite, which make the variogram very difficult to describe the spatial distributional characteristics of true data. In order to overcome its shortage, an improved interpolation called support vector machine-Kriging interpolation (SVM-Kriging) was proposed in this paper. The SVM-Kriging uses least square support vector machine (LS-SVM)...
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