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面向矿山救援的UWB雷达人员定位研究现状及展望

郑学召 马佳文 黄渊 李强 任婧 刘钰

工矿自动化2025,Vol.51Issue(4):9-18,10.
工矿自动化2025,Vol.51Issue(4):9-18,10.DOI:10.13272/j.issn.1671-251x.2025010046

面向矿山救援的UWB雷达人员定位研究现状及展望

Current status and outlook of UWB radar personnel localization for mine rescue

郑学召 1马佳文 1黄渊 1李强 1任婧 2刘钰2

作者信息

  • 1. 西安科技大学安全科学与工程学院,陕西西安 710054||国家矿山救援西安研究中心,陕西西安 710054||陕西西矿智通科技有限公司,陕西西安 710086
  • 2. 西安科技大学安全科学与工程学院,陕西西安 710054||国家矿山救援西安研究中心,陕西西安 710054
  • 折叠

摘要

Abstract

Ultra-Wide Band(UWB)radar exhibits strong penetration capability and high resolution,enabling the detection and localization of trapped personnel behind coal-rock collapses in mine disasters.This paper introduces the principles of UWB radar localization and its applications in mine rescue operations.The UWB radar personnel localization technologies are systematically reviewed from three perspectives:radar localization methods,static/dynamic target localization,and single/multi-target localization.Key challenges in mine rescue scenarios are identified:① significant localization errors and limited effective detection range in thick,heterogeneous,and discontinuous media;② weakened radar echoes and severe clutter interference under Non-Line-of-Sight(NLOS)conditions,leading to low-precision micro-motion target detection and large real-time errors for dynamic targets;③ signal interference and occlusion effects among multiple targets degrading localization accuracy.Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed:① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments;② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models;③ improving UWB radar echo processing algorithms,combining adaptive beamforming technology,Multiple Input Multiple Output(MIMO)technology,and optimized K-means++or entropy-based hierarchical analysis algorithms,effectively distinguishing multi-target position information,and validating their adaptability and reliability in complex environments through extensive simulation experiments.

关键词

矿山应急救援/UWB雷达/人员定位/动态目标定位/多目标定位

Key words

mine emergency rescue/UWB radar/personnel localization/dynamic target localization/multi-target localization

分类

矿业与冶金

引用本文复制引用

郑学召,马佳文,黄渊,李强,任婧,刘钰..面向矿山救援的UWB雷达人员定位研究现状及展望[J].工矿自动化,2025,51(4):9-18,10.

基金项目

国家自然科学基金资助项目(52174197) (52174197)

陕西省重点研发计划资助项目(2023-YBSF-101). (2023-YBSF-101)

工矿自动化

OA北大核心

1671-251X

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