Characteristic Features of the Optimal Processing of the Results of Measurements in the Case of a Random Observation Function |
| |
| Authors: | Fedorov M. E. Vashkevich S. A. |
| |
| Affiliation: | (1) Department of Systems Engineering and Computer Science, COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil |
| |
| 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. |
| |
| Keywords: | estimation theory observation function nonlinear Kalman filter adaptive filter |
| 本文献已被 SpringerLink 等数据库收录！ |
