Identification of Aircraft Wake Vortex Based on SVM
Joint Authors
Pan, Weijun
Wu, Zhengyuan
Zhang, Xiaolei
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Pan, Weijun& Wu, Zhengyuan& Zhang, Xiaolei. 2020. Identification of Aircraft Wake Vortex Based on SVM. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1202144
Modern Language Association (MLA)
Pan, Weijun…[et al.]. Identification of Aircraft Wake Vortex Based on SVM. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1202144
American Medical Association (AMA)
Pan, Weijun& Wu, Zhengyuan& Zhang, Xiaolei. Identification of Aircraft Wake Vortex Based on SVM. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1202144
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202144