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作 者:赵阳 李凌云 赵晓霞 刘先辉 张良 ZHAO Yang;LI Lingyun;ZHAO Xiaoxia;LIU Xianhui;ZHANG Liang(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China;School of Information,University of Arizona,Tucson 85721,USA)
机构地区:[1]中国民航大学电子信息与自动化学院,天津300300 [2]亚利桑那大学信息学院,亚利桑那州图森85721
出 处:《计算机科学》2023年第S01期667-672,共6页Computer Science
基 金:国家自然科学基金(61802409);中国民航大学科研启动基金项目(2020KYQD13);中央高校基本科研业务费专项资金(3122021035)。
摘 要:针对无源UHF RFID标签未激活导致的定位特征缺失问题,鉴于精确建立信道模型存在较大困难,提出了一种基于信号强度欧氏距离-空间欧氏距离线性模型的缺失定位特征估计算法,通过增加特征维数以提高场景分析算法定位精度。对于未激活参考标签,可直接基于线性模型估计所缺失定位特征,以提高场景匹配数据的完备性;对于未激活待定位标签,则基于线性模型首先估计待定位标签与多个基准参考标签的间隔距离,引入最小二乘算法初步估计其位置信息,再基于线性模型反向估计出所缺失定位特征,从而完善待定位标签的定位特征。基于实测实验表明,所提出的缺失定位特征估计计算方法不仅能有效提高所有缺失待定位标签的定位精度,还能提高缺失参考标签周围待定位标签的定位精度,且无需增加硬件设备,符合低成本、高精度的应用需求。For the problem of missing localization characteristics caused by the activation failure of passive UHF RFID tags,given the significant challenges in precisely modeling the channel,this paper proposes a missing localization characteristic estimation algorithm based on the linear model of signal strength Euclidean distance-space Euclidean distance to improve the localization accuracy of the scene analysis algorithms by increasing the number of characteristic dimensions.To increase the completeness of the scene matching data for nonactivated reference tags,the missing localization characteristics could be calculated directly by using the linear model.For the nonactivated target tags,the linear model is used to estimate the distance between the target tag and multiple benchmark reference tags,the least squares algorithm is used to estimate the preliminary location information of the target tag,and again the missing localization features are estimated using the linear model in reverse to complete the localization characteristics of the target tags.Experiments show that the proposed algorithm can not only effectively improve the localization accuracy of all missing target tags,but also the target tags around the missing reference tags.In addition,there is no additional hardware equipment included for this algorithm,which meets the application requirements of low-cost and high-precision.
关 键 词:定位 无源UHF RFID 场景分析 信号强度 特征估计
分 类 号:TN915[电子电信—通信与信息系统] TP391.4[电子电信—信息与通信工程]
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