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面向室内复杂布局的EKF融合定位技术应用研究

何力 张月 韩梦宇 李子健 林仕福 林志清

现代信息科技2025,Vol.9Issue(19):16-21,6.
现代信息科技2025,Vol.9Issue(19):16-21,6.DOI:10.19850/j.cnki.2096-4706.2025.19.004

面向室内复杂布局的EKF融合定位技术应用研究

Research on the Application of EKF Fusion Positioning Technology for Indoor Complex Layout

何力 1张月 1韩梦宇 1李子健 1林仕福 1林志清1

作者信息

  • 1. 中山大学 电子与通信工程学院,广东 深圳 518107
  • 折叠

摘要

Abstract

Focusing on the problem of poor accuracy in target positioning and trajectory tracking in complex indoor layouts,researchers conduct in-depth exploration of EKF fusion positioning technology.This paper proposes a positioning method based on the fusion of broadband MIMO millimeter wave radar and visual information,which leverages the advantages of millimeter wave radar to accurately obtain target information and has strong clutter suppression capability.Aiming at its shortcomings in Target Recognition,an innovative multimodal data fusion architecture is constructed.The pixel-level deep fusion is achieved through the Weighted Average Algorithm,and the data is optimized via the EKF algorithm to solve the drawbacks of traditional methods.Experiments show that the key indicators of this method are significantly improved,providing a reliable solution for indoor positioning and tracking,and promoting the development of multi-sensor fusion technology.

关键词

宽带MIMO毫米波雷达/视觉系统/融合定位技术/目标识别/扩展卡尔曼滤波/加权平均算法

Key words

broadband MIMO millimeter wave radar/visual system/fusion positioning technology/Target Recognition/Extended Kalman Filter/Weighted Average Algorithm

分类

信息技术与安全科学

引用本文复制引用

何力,张月,韩梦宇,李子健,林仕福,林志清..面向室内复杂布局的EKF融合定位技术应用研究[J].现代信息科技,2025,9(19):16-21,6.

现代信息科技

2096-4706

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