Flight path self-adaptive smoothing method based on time sequence QAR parameters

Abstract

The invention discloses a flight path self-adaptive smoothing method based on time sequence QAR parameters. The method specifically comprises the steps that S1, extracting the QAR parameters needed for judging smoothing of an aircraft path; S3, extracting a ground stage, a first flight stage and a second flight stage of an aircraft route segment according to the values of the cleaned QAR parameters; S4, performing smooth noise reduction processing on the ground stage and the first flight stage by adopting an S-G filtering smoothing algorithm; carrying out data smoothing processing on the second flight stage by adopting a moving average smoothing algorithm; S5, identifying and extracting a turning interval in the ground stage; and S6, carrying out smoothing processing on the turning interval by adopting n-order Bezier curve interpolation. The method provided by the invention is high in accuracy, simple in principle, good in stability and suitable for large-scale popularization, and different methods are adopted for smoothing according to the track characteristics of different stages.

Description

technical field [0001] The invention relates to the field of aviation information visualization, in particular to a method for self-adaptive smoothing of flight tracks based on time series QAR parameters. Background technique [0002] Flight segment trajectory restoration is a relatively basic and extensive use of QAR parameters, but there are errors in the collection of latitude and longitude parameters and small jumps in real altitude parameters. This is because the accuracy of altitude parameters obtained by different detectors is different in different flight stages. . The real altitude parameter is actually a combination of altitude parameter values ​​with higher accuracy in the current flight stage, so there will be a small jump when changing the used parameters. Example: Use radio altitude below 50 feet, use sea pressure correction altitude above 50 feet. This makes the restored trajectory less realistic. Contents of the invention [0003] In view of this, the ob...

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Problems solved by technology

[0002] Flight segment trajectory restoration is a relatively basic and extensive use of QAR parameters, but there are errors in the collection of longitude and latitude parameters and small jumps in real altitude parameters. This is because the accuracy of altitude parameters obtained by different detectors is different in different flight stages.

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