基于小波变换模极大值的LiDAR风切变预警算法

为了更好地检测低空风切变, 保障飞机的飞行安全, 提出了一种基于小波变换模极大值的激光雷达风切变预警算法。先用小波变换求取重组逆风廓线上的模极大值, 找到“拐点”后再利用风切变判断标准来判断。在进行数值仿真和来自湖北郧西气象站、四川攀枝花机场的现场检测验证后, 确认新算法在准确性及效率方面都有良好的性能, 且脉冲型数据使用biorthogonal系中双数小波检测结果较准确, 而阶跃型和斜坡型数据需使用Daubechies系中Db5小波。结果表明, 鄂西北郧西县和攀枝花保安营机场均有风切变发生, 风切变强度为重度。该算法能检测不同类型的风切变, 不用考虑风切变的尺度, 较好地弥补了现有算法的不足, 为飞机的起降提供技术保障, 对实时检测和预警也有重大的意义。

Abstract

For better detection of low-level wind shear, a new algorithm based on the wavelet transform modulus maxima methodI was introduced to predict the occurrence of wind shear along the glide path. Wavelet transform is used to obtain the modulus maximum value on the recombined upwind profile. The “inflection point” was found, and then the windshear judgment standard was used to judge its accuracy. Numerical examples and field detection data from Yunxi Meteorological Station in Hubei Province and Panzhihua Airport in Sichuan Province have well verified the good performance of the method, in terms of both accuracy and efficiency. The result shows that the pulse-type data is more accurate using the even number wavelet in the biorthogonal system; the step-type and ramp-type data is more accurate using the Db5 in the Daubechies system. The results show that the wind shear occurred in Yunxi county and Panzhihua Baoanying Airport, the wind shear intensity were both heavy. This algorithm can detect different types of wind shear without considering the scale of wind shear, which makes up for the shortcomings of existing algorithms, provides technical support for aircraft takeoff and landing, and has great significance for real-time detection and early warning.

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张千千, 史纬恒, 伍波, 万家硕, 成家豪, 龚靖, 赵青虎. 基于小波变换模极大值的LiDAR风切变预警算法[J]. 激光技术, 2022, 46(5): 610. ZHANG Qianqian, SHI Weiheng, WU Bo, WAN Jiashuo, CHENG Jiahao, GONG Jing, ZHAO Qinghu. Application of LiDAR based on wavelet transform modulus maxima in low-level wind shear alerting[J]. Laser Technology, 2022, 46(5): 610.

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