Telemetry data driven unmanned plane flight state identification method

Abstract

The invention provides a telemetry data driven unmanned plane flight state identification method, and provides a Chebyshev-random forest algorithm (C-RF) unmanned plane state identification method. The telemetry data of an unmanned plane undergoes characteristic extraction and dimension reduction through adopting a Chebyshev fitting technology, and the adaptive classification of the flight state is realized by using a random forest algorithm. The method combines the advantages of simple calculation and optimum fitting approaching of a Chebyshev fitting coefficient with the advantages of fast training speed, high classification accuracy and strong noise resistance, can cover various samples of the unmanned plane and avoid an over-fitting problem, and realizes effective identification of the flight state of the unmanned plane. Real unmanned plane flight telemetry data is adopted to carry out identification, so the total identification accuracy is higher than 90%, and a small amount of kinds of the samples is accurately identified, so the effectiveness and the practicality of the method are proved.

Description

technical field [0001] The invention relates to a method for identifying the flight state of an unmanned aerial vehicle driven by telemetry data, and belongs to the technical field of identification methods for the flight state of an unmanned aerial vehicle. Background technique [0002] UAV (Unmanned Aerial Vehicle, UAV) is a reusable unmanned aerial vehicle, which is usually controlled by radio remote control equipment or operated by an onboard program to achieve flight. The flight state is an abstract description of different flight behaviors during the flight of the UAV, which can be simplified to several standard states, such as climbing, level flight, circling, turning, and descending. The real flight process of the UAV is composed of continuous conversion or combination of different flight states. Through the recognition of the flight state of the UAV, the real flight state change of the UAV can be obtained, and the task completion of the UAV during the flight can be...

AI Technical Summary

Problems solved by technology

[0052] The purpose of the present invention is to solve the problems of large amount of sample data, non-uniform data length and uneven distribution of various types of samples in the identification of UAV flight status, and then provide a remote measurement data-driven UAV flight status identification method

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