红外与毫米波学报, 2020, 39 (4): 462, 网络出版: 2020-09-17
基于激光测风雷达的机场低空风切变识别算法
摘要
介绍了低空风切变识别的研究情况,提出了一种基于激光测风雷达的机场低空风切变识别算法,针对性设计了重点监测区域和告警方式;并于2016年春季和2018年春夏季,在气候、地形复杂度不同的多个机场进行低空风切变监测试验,通过分别与国外某型激光测风雷达以及同时段航空器报告结果做对比,评估本文算法的切变识别能力。试验结果表明,本文算法可以有效监测到激光测风雷达探测范围内的低空风切变,命中率可达88%以上。
Abstract
This paper introduces the research situation of low-level wind shear identification, and proposes a low-level wind shear recognition algorithm based on airport application for laser wind radar. The key monitoring areas and warning methods are designed in a targeted manner. Low-level wind shear data in this paper are collected form the LIDAR wind field detection tests conducted from January to April 2016 and December 2017 to June 2018 at several airports with different climate and terrain complexity. The shear identification capability of the algorithm was evaluated by comparing with the results of a foreign company''s LIDAR and aircraft voice report. The experimental results show that the algorithm can effectively detect low-level wind shear in the detection range of laser wind radar, and the hit rate can reach over 88%.
范琪, 郑佳锋, 周鼎富, 朱克云, 张杰, 童文皓, 罗雄. 基于激光测风雷达的机场低空风切变识别算法[J]. 红外与毫米波学报, 2020, 39(4): 462. Qi FAN, Jia-Feng ZHENG, Ding-Fu ZHOU, Ke-Yun ZHU, Jie ZHANG, Wen-Hao TONG, Xiong LUO.