A New Filtering Algorithm for Information Fusion Based on Low Cost Integrated Navigation System
Min Ding · Journal of Chinese Inertial Technology · 2002
This paper deals with a new information fusion algorithm based on a low cost integrated navigation system used by cars and ground robotics vehicle. The proposed algorithm combines fuzzy Kalman filter algorithm with map matching techniques. The simulation results indicate that fuzzy Kalman filter can be viewed as a data-smothering window, and is better than regular extended Kalman filter algorithm.