Research On ACARS Track Reconstruction Algorithm Based On Adaptive Cubic Spline Interpolation

MH370 incident has aroused widespread concern on the aircraft flight safety in the international community,particularly on the real-time location of the flight.Therefore,the flight real-time tracking has become a key technology that needs to be solved.Track reconstruction is one of the key technologies to achieve flight tracking and ensure the safety of flight.Improving the degree of cure smoothing and decreasing its error are helpful to the accurate tracking and positioning of flights,which provides a guarantee for the safe operation of the air traffic.Based on the analysis of the flight paths of aeronautical vehicles,some algorithms are used to establish historical tracks with historical flight data provided by Aircraft Communication Addressing and Reporting System.A track reconstruction algorithm is proposed based on adaptive cubic spline interpolation.The algorithm uses the randomly selected nodes to obtain the B-spline basis function,and combines the ACARS historical data to calculate control points on a path curve.The curve is reconstructed by the control points and the B-spline basis function,and the actual error is calculated.If the error does not meet the established requirements,the node is re-selected until it meets the requirements.This algorithm is also used to optimize the spline nodes and improve the efficiency of reconstructed trajectories under the premise of ensuring the accuracy.The experimental results show that the adaptive cubic spline algorithm has better performance than traditional reconstruction algorithms,with the smoother curve,especially in the take-off and landing stages.The simulation results show that the accuracy is 0.8% in the approximate time range,which is higher than other algorithms.