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基于Wi-Fi/PDR的室内融合定位算法研究

吴志高 黄康妮 龙克柳

现代信息科技2025,Vol.9Issue(4):15-21,7.
现代信息科技2025,Vol.9Issue(4):15-21,7.DOI:10.19850/j.cnki.2096-4706.2025.04.004

基于Wi-Fi/PDR的室内融合定位算法研究

Research on Indoor Fusion Positioning Algorithm Based on Wi-Fi/PDR

吴志高 1黄康妮 1龙克柳1

作者信息

  • 1. 江西理工大学 信息工程学院,江西 赣州 341000||多维智能感知与控制江西省重点实验室,江西 赣州 341000
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摘要

Abstract

With the maturation of outdoor positioning systems,the demand for indoor positioning has gradually increased.However,facing the complex indoor positioning environments,no single indoor positioning technology can achieve high-precision positioning.Wi-Fi and Pedestrian Dead Reckoning(PDR)positioning technologies are commonly used indoor positioning technologies.And PDR suffers from cumulative errors and poor stability,making it unsuitable for long-term standalone use,while Wi-Fi positioning technology is easily affected by the complex indoor environments.To reduce the errors associated with PDR and Wi-Fi positioning technologies and obtain more precise positioning results,this paper proposes two fusion algorithms of a weighted fusion positioning algorithm and a fusion positioning algorithm based on the Extended Kalman Filter(EKF).The fusion algorithms reduce the impact of cumulative errors on PDR positioning results while improving the precision of Wi-Fi positioning.Experimental results show that the proposed algorithm in this paper offers better positioning precision and stability compared to standalone positioning technology and the weighted fusion positioning algorithm.

关键词

室内定位/Wi-Fi指纹定位/PDR定位/融合定位

Key words

indoor positioning/Wi-Fi fingerprint positioning/PDR positioning/fusion positioning

分类

电子信息工程

引用本文复制引用

吴志高,黄康妮,龙克柳..基于Wi-Fi/PDR的室内融合定位算法研究[J].现代信息科技,2025,9(4):15-21,7.

基金项目

大学生创新创业训练资助项目(202410407040) (202410407040)

现代信息科技

2096-4706

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