Research On Integrity Optimization Algorithm Of GBAS System Based On BP Neural Network

The navigation approach landing system is an important part of the current civil aviation field.With the passenger flow and flights increased,the traditional navigation system cannot meet the requirements of more precise approach landing.As one of the satellite navigation systems in the civil aviation field currently under development,the Ground-Based Augmentation System(GBAS)can provide more reliable and high-precision positioning services.But China’s Beidou satellite GBAS system only meets the precision approach CAT I navigation performance service now.There is still a gap to meet the precision approach CATII/III navigation performance.Therefore,based on the BDGBAS system ground end integrity monitoring technology and BP neural network algorithm,some research and simulation analysis are carried out in this thesis.The main research contents and results are as follows:First,the thesis outlines the basic principles and development status,workflow and data processing algorithms of the GBAS integrity monitoring system.Secondly,because of integrated navigation algorithm is the common external enhancement method for improving the performance of satellite navigation system,the thesis proposes an integrated navigation algorithm based on BP neural network to improve UKF.The new algorithm can effectively reduce noise and reduce errors when the aircraft approach landing.Finally,the receiver Multiple Reference Consistency Check algorithm and ionospheric gradient anomaly monitoring algorithm in the traditional GBAS ground end integrity monitoring system are analyzed.An adaptive Kalman filter gradient monitoring algorithm based on BP neural network training optimization is proposed.It solves the problem of finite sample B value correlation,and the problem of location domain no fault and single fault correlation in traditional algorithms,it improves the integrity monitoring performance and data quality availability of precision approach CAT II/III navigation performance of the navigation system.