Method for Estimating at least One System State by Means of a Kalman Filter: abstract simplified (18182056)

• This abstract for appeared for patent application number 18182056 Titled 'Method for Estimating at least One System State by Means of a Kalman Filter'

Simplified Explanation

The abstract describes a method called the Kalman filter, which is used to estimate the state of a system. This method takes measured values from sensors and uses them to predict and correct the estimated state. The method involves determining the state description at a given time step, considering the previous state description. It also determines a filtered state description at the same time step, considering the determined state description and the filtered state description from the previous time step. Additionally, the method determines information about the reliability of the prediction at the time step, considering the determined state description and the filtered state description.

Original Abstract Submitted

In a method for estimating at least one system state using a Kalman filter, measured values measured by at least one sensor are fed to the Kalman filter and the Kalman filter outputs an estimation result and at least one associated item of information concerning the reliability of the estimation result by carrying out a prediction step and a correction step. The method includes determining a description of a state in a time step taking into account a description of a state from a previous time step, determining a filtered description of the state at the same time step taking into account the description of the determined state and a filtered description of a state from a previous time step, and determining information concerning the reliability of the prediction at the time step taking into account the description of the determined state and the filtered description of the determined state.