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http://dx.doi.org/10.3807/COPP.2018.2.1.007

A Novel Ramp Method Based on Improved Smoothing Algorithm and Second Recognition for Windshear Detection Using LIDAR  

Li, Meng (Civil Aviation Meteorological Institute, Key Laboratory of Operation Programming & Safety Technology of Air Traffic Management, Civil Aviation University of China)
Xu, Jiuzhi (Civil Aviation Meteorological Institute, Key Laboratory of Operation Programming & Safety Technology of Air Traffic Management, Civil Aviation University of China)
Xiong, Xing-long (College of Precision Instrument and Optoelectronics Engineering, Key Lab of Optoelectronic Information Technology (Ministry of Education), Tianjin University)
Ma, Yuzhao (College of Precision Instrument and Optoelectronics Engineering, Key Lab of Optoelectronic Information Technology (Ministry of Education), Tianjin University)
Zhao, Yifei (Civil Aviation Meteorological Institute, Key Laboratory of Operation Programming & Safety Technology of Air Traffic Management, Civil Aviation University of China)
Publication Information
Current Optics and Photonics / v.2, no.1, 2018 , pp. 7-14 More about this Journal
Abstract
As a sophisticated detection technology, LIDAR has been widely employed to probe low-altitude windshear. Due to the drawbacks of the traditional ramp algorithm, the alarm accuracy of the LIDAR has not been satisfactory. Aiming at settling this matter, a novel method is proposed on the basis of improved signal smoothing and second windshear detection, which essentially acts as a combination of ramp algorithm and segmentation approach, involving the human factor as well as signal fluctuations. Experiments on the real and artificial signals verify our approach.
Keywords
LIDAR; Windshear; Signal smoothing; Second recognition;
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