ADS-B空中位置数据异常检测与统计分析  

Anomaly Detection of ADS-B Air Position Data and Statistical Analysis

作　　者：张思远[1] 郑佳雪 沈笑云[1] 焦卫东[1] ZHANG Siyuan;ZHENG Jiaxue;SHEN Xiaoyun;JIAO Weidong(Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300000,China)

机构地区：[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300000

出　　处：《电光与控制》2022年第4期101-105,共5页Electronics Optics & Control

基　　金：国家自然科学基金(2020YFB1600101)。

摘　　要：广播式自动相关监视(ADS-B)是下一代空管系统的重要组成部分,由于该技术采用单向广播的方式,其数据本身的可信性与可靠性缺乏有效验证手段。对ADS-B不同TYPE值的数据进行统计,通过计算空中位置数据形成的航迹曲率,并构建时间窗约束下的置信数据集合,对ADS-B空中位置数据进行异常检测和分类,分析异常数据与TYPE值的关系。实验结果表明,该方法可以快速、准确地识别空中位置数据中的各种异常数据,统计结果显示ADS-B空中位置数据中平均每100条中约有1.59条存在异常。ADS-B is an important part of next-generation air traffic control systems.Since ADS-B adopts one-way broadcast,the credibility and reliability of ADS-B data lack effective verification means.Statistical analysis of ADS-B data of different TYPE values is conducted.By calculating the curvature of air tracks formed by air position data and building a confidence data set under the constraints of time window,the anomaly detection and classification of ADS-B air position data are performed,and the relationship between abnormal data and TYPE value is analyzed.The experimental results show that the proposed method can rapidly and accurately identify abnormal air position data.The statistical results show that there is about 1.59 abnormal data on average in every 100 ADS-B air position data.

关 键 词：广播式自动相关监视 航迹曲率 异常数据 时间窗 统计分析 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]