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面向磁浮交通的强电磁干扰智能感知及定位方法研究

何婉宁 陈锦锋 黄新林

通信学报2026,Vol.47Issue(3):64-74,11.
通信学报2026,Vol.47Issue(3):64-74,11.DOI:10.11959/j.issn.1000-436x.2026048

面向磁浮交通的强电磁干扰智能感知及定位方法研究

Research on intelligent perception and localization for maglev transportation under strong electromagnetic interference

何婉宁 1陈锦锋 1黄新林2

作者信息

  • 1. 同济大学电子与信息工程学院,上海 200092
  • 2. 同济大学电子与信息工程学院,上海 200092||同济大学上海自主智能无人系统科学中心,上海 200092
  • 折叠

摘要

Abstract

The ultra-wideband(UWB)and inertial measurement unit(IMU)fusion localization was currently the most promising technology direction with great application potential in railways.However,in high-speed maglev transporta-tion,UWB anchors deployed along the track leaded to significant localization errors caused by maglev electromagnetic interference.Based on this,a joint time series and strong interference mitigation method was proposed.Firstly,a Markov chain was constructed to model the channel state and formed a time series train state transition model that integrated the channel state.Secondly,an iterative error estimation algorithm was used to calculate the ranging interference between each UWB anchor and target in real time.Finally,a fusion localization model integrating interference classification was constructed to eliminate ranging interference,as well as enhance fusion localization.Simulation results show that the pro-posed method outperforms five other typical interference mitigation algorithms.Moreover,the algorithm performance improvement is more significant with strong and varying interference.

关键词

超宽带/干扰检测/定位增强

Key words

ultra-wideband/interference detection/localization enhancement

分类

信息技术与安全科学

引用本文复制引用

何婉宁,陈锦锋,黄新林..面向磁浮交通的强电磁干扰智能感知及定位方法研究[J].通信学报,2026,47(3):64-74,11.

基金项目

中国科协青年科技人才培育工程博士生专项计划基金资助项目 ()

上海市自然科学基金资助项目(No.25ZR1401342) (No.25ZR1401342)

同济大学-上海电气集团交通自动化系统有限公司智慧轨道交通联合工程技术研究中心 Doctoral Students Program of the Young S&T Talents Cultivation Project,The Natural Science Foundation of Shanghai(No.25ZR1401342),Tongji University-Shanghai Electric Trusted&Safe Transportation Limited Company Smart Rail Tran-sit Joint Engineering Technology Research Center (No.25ZR1401342)

通信学报

1000-436X

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