Identification of aircraft wake vortex based on <i>k</i>-nearest neighbor

PAN Weijun; WU Zhengyuan; ZHANG Xiaolei

doi:10.7510/jgjs.issn.1001-3806.2020.04.013

LASER TECHNOLOGY > 2020 > 44(4): 471-477. > DOI: 10.7510/jgjs.issn.1001-3806.2020.04.013

PAN Weijun, WU Zhengyuan, ZHANG Xiaolei. Identification of aircraft wake vortex based on k-nearest neighbor[J]. LASER TECHNOLOGY, 2020, 44(4): 471-477. DOI: 10.7510/jgjs.issn.1001-3806.2020.04.013

Citation:

PAN Weijun, WU Zhengyuan, ZHANG Xiaolei. Identification of aircraft wake vortex based on k-nearest neighbor[J]. LASER TECHNOLOGY, 2020, 44(4): 471-477. DOI: 10.7510/jgjs.issn.1001-3806.2020.04.013

Citation:

PAN Weijun, WU Zhengyuan, ZHANG Xiaolei. Identification of aircraft wake vortex based on k-nearest neighbor[J]. LASER TECHNOLOGY, 2020, 44(4): 471-477. DOI: 10.7510/jgjs.issn.1001-3806.2020.04.013

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Identification of aircraft wake vortex based on k-nearest neighbor

Air Traffic Management Institute, Civil Aviation Flight University of China, Guanghan 618307, China

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Received Date: July 16, 2019
Revised Date: September 18, 2019
Published Date: July 24, 2020

Graphical Abstract

Abstract

Abstract

To identify aircraft wake vortex by pulsed doppler LiDAR's characteristics, a classification model based on k-nearest neighbor (KNN) was established in this paper. This approach by combining Hallock-Burnham model with pulsed doppler LiDAR's characteristics to extract the feature parameters of radial velocity of wind field was pursued. Based on the test dataset, the KNN was employed to identify aircraft wake vortex in the context of nonuniform wind field. The performance of the proposed method was evaluated in terms of the accuracy (ACC) and the area under ROC curve (AUC). The ACC and the AUC of our technique on test dataset are 0.772 and 0.855, respectively. Experimental results are presented to illustrate the validity and robustness of the proposed approach to aircraft wake vortex.
- laser technique,
- Doppler LiDAR,
- k-nearest neighbor,
- feature extraction,
- wake vortex identification

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