数据采集与处理2025，Vol.40Issue(1)：27-44,18.DOI:10.16337/j.1004-9037.2025.01.003
基于ADS-B与Remote ID的低空智联网无人机监视性能分析
ADS-B and Remote ID Based Performance Analysis for UAV Surveillance in Low-Altitude Intelligent Networks
摘要
Abstract
The low-altitude intelligent network,as a new type of productivity,has facilitated the rapid development of the low-altitude economy.However,the widespread application of unmanned aerial vehicles(UAVs)has posed significant challenges for airspace regulation.This paper mainly focuses on the performance analysis of two potential UAV flight regulation technologies applied to the low-altitude intelligent network:Automatic dependent surveillance-broadcast(ADS-B)and remote identification(Remote ID).Firstly,we systematically introduce the basic mechanisms of ADS-B and Remote ID.Then,based on current technical standards,theoretical transmission distances of these two technologies are analyzed,and methods for evaluating positioning accuracy are defined.We build ADS-B and Remote ID experimental systems that meet performance requirements,estimate the actual transmission distances through measured signal strength,and measure the positioning accuracy of latitude,longitude,and altitude,as well as the packet loss rate.Through the analysis of the measured data,this paper comprehensively evaluates practical application effects of ADS-B and Remote ID in low-altitude intelligent network for the first time.Results show that ADS-B outperforms Remote ID in terms of transmission range and positioning accuracy,while Remote ID performs better in altitude positioning.In terms of communication stability,ADS-B provides stable reception over long distances,while Remote ID performs well in short-range scenarios.Finally,the future development directions of UAV regulation technology are discussed,and solutions for optimizing transmission distance,coverage range,positioning accuracy,and packet loss rate are proposed.关键词
低空智联网/无人机监视技术/广播式自动相关监视/无人机远程识别/蓝牙/Wi-FiKey words
low-altitude intelligent network/UAV surveillance technology/automatic dependent surveillance-broadcast(ADS-B)/UAV remote identification(Remote ID)/bluetooth/Wi-Fi分类
航空航天引用本文复制引用
朱奕安,何佳,贾子晔,吴启晖,董超,张磊..基于ADS-B与Remote ID的低空智联网无人机监视性能分析[J].数据采集与处理,2025,40(1):27-44,18.基金项目
国家自然科学基金(62301251) （62301251）
江苏省前沿引领技术基础研究专项基金(BK20222013) （BK20222013）
航空科学基金(2023Z071052007) （2023Z071052007）
东南大学移动通信全国重点实验室开放研究基金(2024D04). （2024D04）
