Research on High-Precision Positioning System for Civil Aviation Cargo Based on EKF Algorithm and Satellite Navigation
In recent years,the progress of nonlinear filtering algorithms has promoted the technical innovation of civil a-viation cargo positioning systems.However,these systems still face the problems of slow training speed,loss of accuracy and inability to efficiently handle large-scale data.The performance of RTK positioning accuracy is affected by the mode,and the GPS positioning error remains between 2.2 and 3.4 in all directions,which is relatively stable.The extended Kal-man filter algorithm is introduced in this study,and the analysis results of the measured data show that the positioning error in the E direction is the smallest,about 2.2,while the error in the N direction is larger,ranging from 2.5 to 4.The results highlight the differences between BDS and GPS.The BDS/GPS joint positioning method can significantly optimize the PDOP value,and effectively solve the problems caused by the difference in satellite geometry or the insufficient number of visible satellites.
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