基于RSSI的RFID室内定位算法优化研究  

OPTIMIZATION OF RFID INDOOR POSITIONING ALGORITHM BASED ON RSSI

作　　者：刘龙波 乔记平 刘儒平 王志强 Liu Longbo;Qiao Jiping;Liu Ruping;Wang Zhiqiang(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,Shanxi,China;Shanxi Coal Mine Machinery Manufacturing Co.,Ltd.,Taiyuan 030006,Shanxi,China)

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024 [2]山西煤矿机械制造股份有限公司,山西太原030006

出　　处：《计算机应用与软件》2025年第2期152-156,共5页Computer Applications and Software

基　　金：山西省应用基础研究计划项目(201901D111101);山西省重点研发计划项目(201903D221041);2021年度地震科技星火计划项目(XH2101401)。

摘　　要：对RFID室内定位算法LANDMARC存在的问题做了一些优化,针对该算法中存在的局部参考标签关联度异常的情况,对局部不良标签进行关联度修复;针对选取邻近标签过程中易出现的标签误选问题,提出最小目标区域块的改进思路,减少不良标签的影响,再对目标标签位置进行估计。仿真实验结果表明,所提优化方案效果相较于原定位算法具有明显的改善,定位精度提高了22%,其中最大误差减小了27%。The problems of RFID indoor positioning algorithm LANDMARC are optimized.In view of the abnormal correlation degree of local reference tags inLANDMARC,this paper repairs the correlation degree of local bad tags.Aimed at the problem of label mis-selection in the process of selecting adjacent labels,an improvement of minimum target area block was proposed to reduce the influence of bad labels,and the location of target labels was estimated.Simulation results show that the proposed optimization scheme is significantly improved compared with the original algorithm,the positioning accuracy is increased by 22%,and the maximum error is reduced by 27%.

关 键 词：室内定位 射频识别 接收信号强度 算法优化 关联度修复 最小目标区域 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TN92[电子电信—通信与信息系统]