Characteristic Features of the Optimal Processing of the Results of Measurements in the Case of a Random Observation Function |
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| Authors: | Fedorov M E Vashkevich S A |
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| Affiliation: | (1) Department of Systems Engineering and Computer Science, COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil |
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| Abstract: | An analysis is made of the characteristic features and problems of the optimal processing of the results of measurements in the case of a random observation function utilizing a nonlinear Kalman filter. A method is proposed for increasing the convergence domain of the filter with additional processing of measurements in the frequency domain. |
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| Keywords: | estimation theory observation function nonlinear Kalman filter adaptive filter |
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