Self-adaptive fusion technology based on multi-source information fuzzy reasoning in airborne avionics systems
YU Ming-qing · Modern Electronics Technique · 2012
In order to ensure the accuracy and reliability of integrated navigation systems,the scheme of multi-source information fusion navigation is usually used.As for the navigation system integrated with inertial reference system(IRS)/ air data system(ADS)/ global positioning system(GPS),a federal filter structure based on adaptive information distribution is adopted to deal with information fusion of multi-source system,the fuzzy reasoning technology is introduced into ADS/IRS Kalman filter,and the tight integrated mode is used for IRS/GPS filter.The optimal fusion and processing of multi-source navigation information can be done through the structure algorithm mentioned above.The fuzzy adaptive Kalman filtering model of ADS/IRS and tight integrated filtering model of IRS/GPS are built in this paper,and federal filtering algorithm based on adaptive information distribution is designed.The simulation is carried out based on above algorithms.The simulation results verify the effectiveness of the proposed tightly-coupled navigation algorithm integrated with ADS/IRS/GPS.