A Comparative Study of Different Kalman Filtering Methods in Multi Sensor Data Fusion
Mohammad Khanjari Sadegh, Mohebbi Nazar · 2009
Abstract- In this paper two different techniques of Kalman Filtering and their application in multi sensor data fusion are studied. Two different Kalman filtering techniques such as CKF and DKF are modeled and the effectiveness of their application in multi sensor data fusion is compared with each other. All of the kalman filter models have been simulated in MATLAB and simulation environment.