Adaptive Stochastic Filtration Based on the Estimation of the Covariance Matrix of Measurement Noises Using Irregular Accurate Observations

In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed. In this approach, the Covariance Matrix of Measureme...

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Bibliographic Details
Main Authors: Sergey Sokolov, Arthur Novikov, Marianna Polyakova
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Inventions
Subjects:
Online Access:https://www.mdpi.com/2411-5134/6/1/10