基于卡尔曼滤波的ADS-B虚假目标识别系统设计  

Design of an ADS-B false target identification system based on Kalman filtering

作　　者：周苏宁 王韬[1] 班恬[1] Zhou Suning;Wang Tao;Ban Tian(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学电子工程与光电技术学院,南京210094

出　　处：《电子测量技术》2025年第2期66-74,共9页Electronic Measurement Technology

基　　金：南京理工大学研究生教育教学改革课题重点项目(KT2023A003)资助。

摘　　要：为了应对虚假的广播式自动监视(ADS-B)信号对航迹信息带来的干扰,基于卡尔曼滤波对于飞行航迹的预测设计了一种对于ADS-B虚假目标的检测系统。报文解码基于软件无线电平台的ADS-B解调系统,在Qt端完成了解码校验部分并嵌入高德地图动态显示。制作了ADS-B虚假报文发射系统,并基于卡尔曼滤波完成了航迹预测部分。基于ADS-B预测数据的位置离散度,均方根误差设计了跳点率检测部分。根据实验测试,对于给出的虚假报文,成功检测到90.4%的跳点。据此,该系统具有一定的ADS-B虚假目标检测能力。In order to deal with the interference caused by false automatic dependent surveillance-broadcast(ADS-B)signals on flight trajectory information,a detection system for ADS-B false targets was designed based on Kalman filtering for the prediction of flight trajectories.The message decoding is based on an ADS-B demodulation system using a software-defined radio platform,with the decoding verification part completed on the Qt end and dynamically displayed using Gaode map.An ADS-B fake message transmission system was created,and the track prediction part was completed based on Kalman filtering.The jump rate detection part was designed based on the positional dispersion of the ADS-B predicted data and the root mean square error.According to experimental tests,for the given fake messages,90.4%of the jumps were successfully detected.Therefore,this system has a certain capability to detect ADS-B false targets.

关 键 词：ADS-B 航迹信息 卡尔曼滤波 假目标识别 

分 类 号：TN713[电子电信—电路与系统] TN973.3