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非视距条件下基于特征融合的UWB到达角估计方法

曾文敏 郑柏烽 刘晋廷 鲍亚川 尹继凯 李建佳 张霆廷

物联网学报2025,Vol.9Issue(4):51-61,11.
物联网学报2025,Vol.9Issue(4):51-61,11.DOI:10.11959/j.issn.2096-3750.2025.00495

非视距条件下基于特征融合的UWB到达角估计方法

Feature fusion method for UWB angle of arrival estimation under non-line-of-sight conditions

曾文敏 1郑柏烽 1刘晋廷 2鲍亚川 3尹继凯 4李建佳 3张霆廷1

作者信息

  • 1. 哈尔滨工业大学(深圳)空天网络与智能感知重点实验室,广东 深圳 518000
  • 2. 哈尔滨工业大学(深圳)空天网络与智能感知重点实验室,广东 深圳 518000||香港科技大学(广州)物联网学域,广东 广州 511453
  • 3. 中国电子科技集团公司第五十四研究所 综合时空网络与装备技术全国重点实验室,河北 石家庄 050081
  • 4. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
  • 折叠

摘要

Abstract

Ultra-wideband(UWB)technology is recognized for its ability to provide high-precision positioning information,offering significant advantages in indoor positioning.Angle of arrival(AOA)estimation,as one of the key technologies in UWB positioning,is considered crucial for improving positioning accuracy.However,in practical applications,UWB AOA estimation is faced with numerous challenges,particularly in complex environments such as non-line-of-sight(NLOS)condi-tions,antenna hardware impairments and environmental variations.These factors are known to cause signal distortion and measurement deviations,thereby reducing estimation accuracy.Traditional modeling methods are often found inadequate in effectively addressing these nonlinear issues.Therefore,a feature fusion-based UWB AOA estimation method was designed.This approach integrated channel impulse response(CIR)data and dual-antenna received signal features,while a Trans-former encoder was introduced to deeply analyze complex signals,thereby enhancing AOA estimation accuracy.Experimen-tal results demonstrated that the proposed method could achieve high-precision AOA estimation under NLOS conditions.

关键词

超宽带信号/到达角估计/深度学习/特征融合/非视距

Key words

UWB signal/AOA estimation/deep learning/feature fusion/NLOS

分类

信息技术与安全科学

引用本文复制引用

曾文敏,郑柏烽,刘晋廷,鲍亚川,尹继凯,李建佳,张霆廷..非视距条件下基于特征融合的UWB到达角估计方法[J].物联网学报,2025,9(4):51-61,11.

基金项目

国家自然科学基金面上项目(No.62171160) (No.62171160)

广东省重点实验室项目(2024)(No.2024KSYS023) (2024)

深圳市重点实验室项目(No.ZDSYS20210623091808025) (No.ZDSYS20210623091808025)

鹏城实验室重大重点项目(No.PCL2024A01) (No.PCL2024A01)

卫星导航系统与装备技术国家重点实验室开放基金资助项目(No.CEPNT2022A03) (No.CEPNT2022A03)

中国电子科技集团公司第五十四研究所技术开发(委托)项目(No.HX20210106)The Natural Science Foundation of China(No.62171160),Guangdong Provincial Key Laboratory(2024)(No.2024KSYS023),Shenzhen Key Laboratories(No.ZDSYS20210623091808025),Major Key Project of PCL(No.PCL2024A01),The Open Fund of the State Key Laboratory of Satellite Navigation System and Equipment Technology(No.CEPNT2022A03),The Tech-nology Development(Commissioned)Project of the 54th Research Institute of China Electronics Technology Group Corporation(No.HX20210106) (委托)

物联网学报

2096-3750

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