基于ADS-B的航空器测高系统误差评估方法

针对基于广播式自动相关监视(ADS-B)数据的航空器高度保持性能监控中测高系统误差准确评估问题,提出了基于核平滑和混合正态分布模型的数据平滑和拟合分析方法。提出了ADS-B信息低分辨率高度数据的核平滑方法,通过比较分析得到了数据平滑的最优窗宽,基于实测数据的分析证明了该方法对于航空器测高系统误差评价的有效性。针对航空器使用的2套独立的测高学设备具有不同的高度保持性能分布特征的问题,提出了基于混合正态分布模型的拟合分析方法,实测结果表明,该方法可以准确拟合航空器测高系统误差的双峰特征。本文所提出的方法已经在中国RVSM航空器高度保持性能的实际分析中使用,分析结果满足国际民航组织的相关要求。

Error evaluation method of aircraft altimetry system based on ADS-B

Aimed at the accurate evaluation of the altimetry system error for the automatic dependent surveillance-broadcast (ADS-B) height keeping performance monitoring,a data smoothing and fitting analysis method based on the kernel smoothing and mixed-Gaussian distribution was proposed.The kernel smoothing method for improving the resolution of the height data in the ADS-B messages was proposed.The optimal bandwidth of the data smoothing was analyzed.The analysis using real data demonstrates that this error evaluation method of the altimetry system is effective.To solve the problem that the two independent altimetry systems of an aircraft have different height keeping performance distribution characteristics,the fitting method based on the mixed-Gaussian distribution was proposed.The analysis using real data demonstrates that this method can accurately describe the double split peak characteristic of the aircraft altimetry system error.The proposed methods have been used in the analysis of Chinese RVSM aircraft height keeping performance.Evaluation results follow the requirements of International Civil Aviation Organization.