Improvement of Measurement Dynamics Based on Extended Kalman Filter

In this paper, a method for improving dynamic measurements, based on a modified extended Kalman filter is proposed. In contrast with other methods based on the model of the measurement process, the suggested one is applicable for time-varying measurements in which the measurement model depends on the measured variable. The main idea is that in such cases, the problem for estimation of the unknown quantity is transformed into a task for estimation of nonlinear autonomous system states. As an application example, an improvement of time-varying mass measurement dynamics is considered. The main objective is to increase the speed and accuracy of the measurement process. For comparison purposes, the linear Kalman filter for improvement of measurement dynamics is also designed. The advantage of the proposed method, based on extended Kalman Filter is shown in the presented results.