电子与控制

ADS-B统计数据的位置导航不确定类别质量分析

  • 沈笑云 ,
  • 唐鹏 ,
  • 张思远 ,
  • 焦卫东
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  • 1. 中国民航大学 天津市智能信号与图像处理重点实验室, 天津 300300;
    2. 中国民用航空中南地区空中交通管理局 深圳空中交通管理站, 深圳 518128
唐鹏 男, 硕士研究生。主要研究方向: ADS-B监视技术。 E-mail: pdon@sina.com

收稿日期: 2014-09-25

  修回日期: 2015-01-04

  网络出版日期: 2015-01-16

基金资助

国家科技支撑计划(2011BAH24B12); 中央高校基本科研业务费专项资金(3122013C016, 3122013Z001); 天津市应用基础与前沿技术研究计划 (14JCYBJC16000)

Quality analysis of navigation uncertain category for position based on ADS-B statistical data

  • SHEN Xiaoyun ,
  • TANG Peng ,
  • ZHANG Siyuan ,
  • JIAO Weidong
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  • 1. Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China;
    2. Shenzhen Air Traffic Management Station, South-central Air Traffic Management Bureau of Civil Aviation Administration of China, Shenzhen 518128, China

Received date: 2014-09-25

  Revised date: 2015-01-04

  Online published: 2015-01-16

Supported by

National Key Technology Research and Development Program of China (2011BAH24B12);Fundamental Research Funds for the Central Universities (3122013C016, 3122013Z001); Tianjin Research Program of Application Foundation and Advanced Technology (14JCYBJC16000)

摘要

为实现广播式自动相关监视(ADS-B)航迹与雷达航迹的高质量融合,必须对ADS-B航迹和雷达航迹数据质量进行分析。在分析实际ADS-B航迹数据的基础上,提出以航路为参考基准验证ADS-B航迹数据精度及完好性的方法。根据ADS-B报文中的位置导航不确定类别(NUCp)值,统计航迹点与航路中心线的水平偏差并将其作为位置实际误差,运用分位数-分位数图法对位置实际误差进行正态分布检验,得出置信水平为99%的实际误差置信区间,即在不同NUCp值下可信赖的位置误差范围。实验结果表明,在采用加权平均法进行航迹融合时,与传统权重分配相比,对于NUCp值为5或6的ADS-B航迹数据可增大权重,而对于NUCp值为7的数据则应减小权重。

本文引用格式

沈笑云 , 唐鹏 , 张思远 , 焦卫东 . ADS-B统计数据的位置导航不确定类别质量分析[J]. 航空学报, 2015 , 36(9) : 3128 -3136 . DOI: 10.7527/S1000-6893.2015.0004

Abstract

In order to fuse the automatic dependent surveillance-broadcast (ADS-B) track with the radar track with high-quality, it is very important to verify the quality of ADS-B track data and radar track data. Based on the analysis of the actual ADS-B track data, a new method to validate the accuracy and integrity of ADS-B track data is proposed, which uses the route as the reference. According to ADS-B messages for different navigation uncertain category for position (NUCp) values, the method uses the statistical bias between the track point and the route centerline as the actual location error. Using the Quantile-Quantile figure method to test the actual position error for normal distribution, the method gains the actual error confidence interval at the confidence level of 99%, which is a reliable error range for different NUCp values. When using the weighted average method to fuse ADS-B track and radar track, according to experimental results, we could increase the weight for the ADS-B track data of NUCp value being 5 or 6 and reduce the weight in the case of NUCp value being 7, which is different from traditional weight allocation.

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