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In this paper a comprehensive algorithm is presented to alleviate the undesired simultaneous effects of observed glint noise distribution, colored noise spectrum, unknown noise parameter, and nonlinearity of the system on tracking of the maneuvering targets in 3-dimensional space. Particle filter is used as a nonlinear state estimator to deal with the nonlinearities of the observation equations. To...
A parameter estimation scheme for dynamic systems is employed to simultaneously estimate the states and parameters of the model of human cerebral blood flow velocity as a function of mean arterial blood pressure. The estimation results show 20-40% reduction in the output mean square error compared to that of the one obtained from the computer model addressed in a paper by Ticcks, et al. (1995). The...
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