Recognition of Aircraft Wake Vortex Based on Random Forest

Environmental crosswind can greatly affect the development of aircraft wake vortex pair. Previous numerical simulations and experiments have shown that the nonlinear vertical shear of the crosswind velocity can affect the dissipation rate of the aircraft wake vortex, causing each vortex of the vortex pair descent with different velocity magnitude, which will lead to the asymmetrical settlement and tilt of the wake vortex pair. Through numerical simulations, this article finds that uniform crosswind convection and linear vertical shear crosswind convection can also have an effect on the strength of the vortex. This effect is inversely proportional to the cube of the vortex spacing, so it is more intense on small separation vortex pair. In addition, the superposition of crosswind and vortex-induced velocities will lead to the asymmetrical pressure distribution around the vortex pair, which will also cause the tilt of the vortex pair. Furthermore, a new analysis method for wake vortex is proposed, which can be used to predict the vortex trajectory.

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Analysis of Predicted Aircraft Wake Vortex Transport and Comparison with Experiment

Journal of Aircraft ◽

10.2514/3.59843 ◽

1975 ◽

Vol 12 (7) ◽

pp. 619-620

Author(s):

M. R. Brashears ◽

James N. Hallock

Keyword(s):

Wake Vortex ◽

Comparison With Experiment ◽

Aircraft Wake

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Modeling the Radar Signature of Raindrops in Aircraft Wake Vortices

Journal of Atmospheric and Oceanic Technology ◽

10.1175/jtech-d-11-00220.1 ◽

2013 ◽

Vol 30 (3) ◽

pp. 470-484 ◽

Cited By ~ 7

Author(s):

Zhongxun Liu ◽

Nicolas Jeannin ◽

Francois Vincent ◽

Xuesong Wang

Keyword(s):

Traffic Control ◽

Vortex Flow ◽

Doppler Radar ◽

Elevation Angle ◽

Wake Vortex ◽

Wake Vortices ◽

Radar Signature ◽

Radar Echo ◽

Aircraft Wake ◽

Resolution Cell

Abstract The present work is dedicated to the modeling and simulation of the radar signature of raindrops within wake vortices. This is achieved through the computation of the equation of raindrop motion within the wake vortex flow. Based on the inhomogeneous distribution of raindrops within wake vortices, the radar echo model is computed for raindrops in a given resolution cell. Simulated Doppler radar signatures of raindrops within wake vortices are shown to be a potential criterion for identifying wake vortex hazards in air traffic control. The dependence of the radar signature on various parameters, including the radial resolution and antenna elevation angle, is also analyzed.

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Identification of Aircraft Wake Vortex Based on SVM

Mathematical Problems in Engineering ◽

10.1155/2020/9314164 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Weijun Pan ◽

Zhengyuan Wu ◽

Xiaolei Zhang

Keyword(s):

Environmental Parameters ◽

Classification Model ◽

Support Vector ◽

Wake Vortex ◽

Doppler Lidar ◽

Pulsed Doppler ◽

Wind Fields ◽

Wake Turbulence ◽

Aircraft Wake ◽

Separation Standards

The aircraft wake vortex has important influence on the operation of the airspace utilization ratio. Particularly, the identification of aircraft wake vortex using the pulsed Doppler lidar characteristics provides a new knowledge of wake turbulence separation standards. This paper develops an efficient pattern recognition-based method for identifying the aircraft wake vortex measured with the pulsed Doppler lidar. The proposed method is outlined in two stages. (i) First, a classification model based on support vector machine (SVM) is introduced to extract the radial velocity features in the wind fields by combining the environmental parameters. (ii) Then, grid search and cross-validation based on soft margin SVM with kernel tricks are employed to identify the aircraft wake vortex, using the test dataset. The dataset includes wake vortices of various aircrafts collected at the Chengdu Shuangliu International Airport from Aug 16, 2018, to Oct 10, 2018. The experimental results on dataset show that the proposed method can identify the aircraft wake vortex with only a small loss, which ensures the satisfactory robustness in detection performance.

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