The research of the minimum mean-square error of the generalized Kalman filter
Zhao Ming-zhan
Abstract
Zhao Ming-zhan
Abstract
The Kalman filter is widely used in many fields, but it depends on the given system model. The generalized Kalman filter is a method which is based on the unknown model system. Its significance is obvious. This paper, which is based on the signal model and measure model, described the minimum mean-square error of the generalized kalman filter, what is called the selection of the optimal filter. Lastly, the simulation curves were completed by the Kalman filter and the generalized Kalman filter .By the comparison of the curves , the effect of the generalized Kalman filter is evident.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The Kalman filter is widely used in many fields, but it depends on the given system model. The generalized Kalman filter is a method which is based on the unknown model system. Its significance is obvious. This paper, which is based on the signal model and measure model, described the minimum mean-square error of the generalized kalman filter, what is called the selection of the optimal filter. Lastly, the simulation curves were completed by the Kalman filter and the generalized Kalman filter .By the comparison of the curves , the effect of the generalized Kalman filter is evident.
Key concepts: Kalman filter, Invariant extended Kalman filter, Fast Kalman filter, Alpha beta filter, Ensemble Kalman filter, Extended Kalman filter, Control theory (sociology), Mathematics