Simulation study on application of ANFIS for information fusion of vehicle navigation system

In order to fuse location information from different techniques applied in vehicle navigation systems, a cascade fusion architecture was proposed. ANFIS (adaptive-network-based fuzzy interference system) based on zero-order Sugeno fuzzy model was applied in decision level fusion to adjust the weight of different location information in the final position estimation according to each performance. Simulation results show that the application of ANFIS in information fusion of the vehicle navigation system can make full use of navigation information to improve the positioning accuracy, and the proposed method is operational and effective.