Method for analyzing high precision 4D flight trajectory of airplane based on real-time radar data

Abstract

The invention discloses a method for analyzing high precision 4D flight trajectory of an airplane based on real-time radar data, comprising the following steps: establishing a 4D fight trajectory theoretical model based on the airplane performance; establishing a 4D fight trajectory empirical model by mining and analyzing based on the historical fight trajectory data of the airplane types in the above step; combining the theoretical model and the empirical model and quantizing various influencing factors in the flight process into adjustable parameters; and correcting the 4D flight trajectory mixed models by radar data to form the final flight trajectory of the airplane. The invention takes the airplane performance into consideration and establishes the theoretical model by performance library parameters on the basis of a standard flight procedure, thus having high reliability; the invention forms the empirical model by analyzing the historical data, thus having high reality; the invention generates the 4D flight trajectory most similar to the actual flight and can adjust the parameters to form a plan trajectory aiming at the environment of each flight, thus high sensitivity; and the invention correct the plan trajectory by introducing the real-time radar data, thus having high accuracy.

Description

technical field [0001] The present invention relates to an air traffic control automation system and a flight flow management system, especially a high-precision 4D (fourdimension) aircraft track based on real-time radar data for obtaining accurate, continuous and smooth flight plan track analysis in real time Analytical method. Background technique [0002] At present, in the air traffic control automation system, the trajectory analysis methods mainly include great circle trajectory analysis and isometric trajectory analysis, adaptive Kalman filter (Kalman) algorithm and interactive multi-model (IMM) algorithm. Both are in real-time flight to analyze the location and time of future passing waypoints. [0003] The great-circle track analysis and isometric track analysis methods belong to the dynamic track analysis methods, and are applicable to air routes and terminal area arrival and departure routes respectively. However, in the case of short distances, the great circle...

AI Technical Summary

Problems solved by technology

1. The analysis accuracy is low. Although the dynamic track analysis considers the planned waypoint information and uses dynamic data for real-time correction, it does not consider the flight performance data of the flying object. The established 4D track analysis model is idealized, and the assumed 2. The longer the analysis period, the greater the analysis error. Both the Kalman filter algorithm and the IMM algorithm use the real motion state as the observation point, but they are completely divorced from the flight plan and do not consider the flight. The performance of the object, and each time can only estimate the value of one sampling period in the future. As the analysis period increases, the error becomes larger and larger

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