| While the number of civil aviation aircrafts,airports,and civil aviation traffic in China are increasing,airspace resources are becoming more and more tense,and higher requirements are placed on the accuracy of flight altitude positioning.With the development of a variety of airborne navigation systems,utilizing the combination of high-precision navigation systems to improve the accuracy of aircraft altitude positioning has become an important research field.The thesis is mainly based on the airborne navigation system which includes the global navigation satellite system,inertial navigation system,and airborne air data system.The integrated navigation system filter algorithm is improved to increase the accuracy of flight altitude positioning and meet the requirements for positioning accuracy of civil aviation in different flight stages.The thesis introduces the errors in positioning of different navigation systems,and explores the impact of errors on the positioning accuracy of the system at the first.Next,the system combination method and integrated navigation filtering algorithm are studied.In different flight stages,the positioning error caused by the selection of the altitude measurement reference plane is improved.A kind of Kalman filter algorithm for compensation of the elevation anomaly in the terminal area is proposed.The effectiveness of the improved algorithm is verified by simulation.At the end of the thesis,the Sage-Husa adaptive filtering algorithm is improved based on the air pressure altitude,making it suitable for the entire flight phase of the aircraft,and at the same time improving the positioning accuracy of the flight altitude.According to the simulation results of the improved adaptive filtering algorithm,it can be concluded that the improved algorithm is suitable for complex flight environments and different flight stages,enhances the adaptivity of the integrated navigation algorithm,and better ensures the safe and stable flight of the aircraft. |
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