Method and device for aircraft position prediction

Abstract

The embodiment of the invention provides an aircraft position predicting method and device. The method includes the steps of obtaining position data of an aircraft at the first k moment, inputting theposition data at the first k moment to a neural network NN1, outputting the model type of a motion state model conforming to the current motion state of the aircraft, calculating model parameters ofthe motion state model according to the model type by means of the position data at the first m+1 moment to obtain the motion state model, and calculating the probable position of the aircraft at thenext moment to serve as the position prediction value of the aircraft on the basis of the motion state model conforming to the current motion state of the aircraft. By means of the method, the mot suitable motion state equation is rapidly and accurately selected by means of the neural network NN1, the problem that the motion state equation is long un updating cycle by means of a traditional Kalmanfiltering algorithm is solved, and the position information of the aircraft can be accurately monitored by an aviation monitoring system. Compared with the prior art, the position prediction accuracyof the aircraft is improved.

Description

technical field [0001] The invention relates to the technical field of aircraft position prediction, in particular to a method and device for aircraft position prediction. Background technique [0002] With the development of the transportation industry and the growth of the national economy, the civil aviation industry is also booming, which makes the domestic general aviation flight volume continue to increase, which puts forward higher requirements for global aircraft position monitoring. A series of aviation accidents have highlighted the urgency and necessity of aircraft surveillance. [0003] In the field of aircraft surveillance, radar is generally used to measure the position of the aircraft, and then an appropriate filtering algorithm is selected to process the radar data to predict the future position of the aircraft, and then monitor and control the flight activities of the aircraft to ensure flight safety and orderly flight. [0004] In the current aircraft surv...

AI Technical Summary

Problems solved by technology

[0005] However, using the above method, when the aircraft is in a state of non-uniform linear motion, the update of the state equation requires a relatively long period of time, resulting in low accuracy of aircraft position prediction within this period

Images