基于ADS-B数据的风矢量反演方法

Wind Vector Inversion Method of based on ADS-B Data

在影响航空安全运行的重要因素中,风场是最重要的航空气象信息之一。现有的风场探测技术如雷达、探空等存在诸多不足;实时性和高时空分辨率等应用需求对机场风场探测提出了新挑战。基于广播式自动相关监视(ADS-B)数据的风场反演是一种新颖的方法,能有效地解决机场风场探测和重构的实时性和分辨率问题。风场探测的前提步骤是风矢量的反演,就此展开研究。对局部空间和时间内的风矢量进行建模和反演方法的研究,并采用实际的ADS-B下行数据进行分析和验证。实验结果证明该方法针对单个飞机的转弯数据或者同一个有限空域内多个飞机数据具有良好的反演效果。

Among the important factors affcting aviation safe operation,wind field is one of the most important aviation meteorological information.The existing wind field detection techniques,such as radar,air exploration and so on,have many inherent defects.The inversion method based on Automatic Dependent Surveillance-broadcast(ADS-B)system is a novel one,which can effectively solve the real-time and resolution problems of wind field detection and reconstruction in the airport region.The first step of this novel method is the inversion of wind vector,which is the research aim of this paper.The wind vector in local space and time is modeled and the inversion method is studied,and the actual ADS-B downlink data is used to analyze and verify..The experimental results show that the method has a good inversion effect for single aircraft turning data or multiple aircraft data in the same local airspace.