摘要
伴随着室外定位系统的成熟,人们对室内定位的需求逐渐增大,然而,面对复杂的室内定位环境,单一室内定位技术无法实现高精度的定位。Wi-Fi定位技术和PDR定位技术是常用的室内定位技术,其中PDR定位技术存在累计误差,定位稳定性较差,无法长时间单独使用,Wi-Fi定位技术易受到室内复杂环境影响。为了减小PDR和Wi-Fi定位技术的误差,得到更精确的定位结果,针对两种定位技术的优点与局限性,文章提出了两种融合算法:加权融合定位算法、基于扩展卡尔曼滤波的融合定位算法。融合算法减小了累计误差对PDR定位结果的影响,同时提高了Wi-Fi定位的精度。实验结果表明,文章提出的算法相比单一定位技术和加权融合定位算法,有更好的定位精度和稳定性。
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.
作者
吴志高
黄康妮
龙克柳
WU Zhigao;HUANG Kangni;LONG Keliu(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;Jiangxi Province Key Laboratory of Multidimensional Intelligent Perception and Control,Ganzhou 341000,China)
出处
《现代信息科技》
2025年第4期15-21,共7页
Modern Information Technology
基金
大学生创新创业训练资助项目(202410407040)。
关键词
室内定位
Wi-Fi指纹定位
PDR定位
融合定位
indoor positioning
Wi-Fifingerprint positioning
PDR positioning
fusion positioning
