Identification of Aircraft Wake Vortex Based on SVM

المؤلفون المشاركون

Pan, Weijun
Wu, Zhengyuan
Zhang, Xiaolei

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-05-12

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1202144