融合航空器监视数据的航空气象参数反演及验证

风矢量、温度和压强是非常重要的航空气象信息，事关飞行安全。航空器监视数据更新快、分布广，可用于绝大多数的飞机和地区，基于航空器监视数据获取气象信息是一种经济可行的方法。论文给出一种基于广播式自动相关监视（Automatic Dependent Surveillance-Broadcast，ADS-B）和Mode S二次监视雷达（Secondary Surveillance Radar， SSR）融合数据的气象参数反演方法，利用空速、地速和气压高度等反演气象参数，并应用于单航线和区域性反演两种场景。与现有气象系统对照表明单航线和区域性反演都具有较高的反演精度，能够很好的补充现有的航空气象获取网络。 

Inversion and Verification of Aeronautical Meteorological Parameters Integrating with Aircraft Surveillance Data

? ?Wind vector， temperature and pressure are very important aviation meteorological information， which is related to the flight safety of aircraft. The monitoring data from the aircraft can be updated more quickly and cover a wider area， which can be used on most of the aircraft and in the majority of regions. It is an economical and feasible method to retrieve meteorology based on aircraft monitoring data. In order to supplement and improve the existing aviation meteorological system， a meteorological parameter inversion method based on the fusion data of Automatic Dependent Surveillance-Broadcast （ADS-B） and Mode S Secondary Surveillance Radar （SSR） is proposed， which uses airspeed， ground speed and barometric altitude to invert meteorological parameters， and is applied to two scenarios of single route and regional inversion. The comparison with the existing meteorological system shows that both single route and regional inversion have high inversion accuracy， which can well complement the existing aviation weather acquisition network.