利用ADS-B通信技术改进雷达监测精度的评估方法  

Evaluation method for improving radar monitoring accuracy using ADS-B communication technology

作　　者：王锐 WANG Rui(Civil Aviation Flight University of China Mianyang Flight College,Mianyang 621000,China)

机构地区：[1]中国民用航空飞行学院绵阳分院,四川绵阳621000

出　　处：《无线互联科技》2025年第6期34-38,共5页Wireless Internet Science and Technology

摘　　要：该研究旨在评估自动相关监视-广播(Automatic Dependent Surveillance-Broadcast,ADS-B)系统通信技术对改进雷达监测精度的效果。文章通过对ADS-B和传统雷达数据进行采集、处理与融合,显著提升了飞行器的定位、航向、高度和速度监控精度。数据分析结果表明,单一雷达系统的定位误差较大,而ADS-B通信技术在精度和更新频率上有显著提升。该研究将两者的数据源进行融合后,定位误差进一步减少,平均降低至5 m,其他关键参数如高度、速度和航向的误差也有显著下降。该研究通过卡尔曼滤波等算法处理数据,实现了高效的多源数据融合,提升了航空监测的精度与可靠性,特别是在飞行器实时跟踪中的应用价值显著。The aim of this study is to evaluate the effectiveness of Automatic Dependent Surveillance-Broadcast(ADS-B)communication technology in improving radar monitoring accuracy.This article significantly improves the accuracy of aircraft positioning,heading,altitude,and speed monitoring by collecting,processing,and fusing ADS-B and traditional radar data.The data analysis results show that the positioning error of a single radar system is relatively large,while a single ADS-B data has significant improvements in accuracy and update frequency.After combining the data sources of both,this study further reduces the positioning error to an average of 5 meters,and significantly reduces the errors in other key parameters such as altitude,speed,and heading.This study processes data using algorithms such as Kalman filtering,achieving efficient multi-source data fusion and improving the accuracy and reliability of aviation monitoring,especially in real-time tracking of aircraft,which has significant application value.

关 键 词：自动相关监视-广播 雷达监测 数据融合 卡尔曼滤波 

分 类 号：TV351.3-39[水利工程—水工结构工程]