一种改进LANDMARC射频识别室内定位算法

在射频识别RFID室内定位环境中,LANDMARC定位算法的精度与选取的近邻参考标签数量有关。传统的算法仅仅局限于在小范围定位环境中选取3~5个参考标签,而在较大的定位环境中,距阅读器较远的相邻参考标签存在干扰近邻参考标签选取的情况,因此,需要选取较多的参考标签来辅助定位,然而随着选取参考标签数量的增加,定位误差越来越大。针对这一问题,在选取的参考标签中引入加权思想来优化计算过程中权重的分配,进而降低系统误差,提高定位精度。仿真实验结果表明,改进后的LANDMARC定位算法在选取较多参考标签的情况下具有较高的定位精度。...

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Published in计算机工程与科学 Vol. 37; no. 9; pp. 1671 - 1675
Main Author 曹洁 牛丽波 王进花
Format Journal Article
LanguageChinese
Published 甘肃省制造业信息化工程技术研究中心,甘肃兰州730050%兰州理工大学电气工程与信息工程学院,甘肃兰州,730050 2015
兰州理工大学电气工程与信息工程学院,甘肃兰州730050
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Online AccessGet full text
ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2015.09.012

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Abstract 在射频识别RFID室内定位环境中,LANDMARC定位算法的精度与选取的近邻参考标签数量有关。传统的算法仅仅局限于在小范围定位环境中选取3~5个参考标签,而在较大的定位环境中,距阅读器较远的相邻参考标签存在干扰近邻参考标签选取的情况,因此,需要选取较多的参考标签来辅助定位,然而随着选取参考标签数量的增加,定位误差越来越大。针对这一问题,在选取的参考标签中引入加权思想来优化计算过程中权重的分配,进而降低系统误差,提高定位精度。仿真实验结果表明,改进后的LANDMARC定位算法在选取较多参考标签的情况下具有较高的定位精度。
AbstractList TP391.4; 在射频识别RFID室内定位环境中,LANDMARC定位算法的精度与选取的近邻参考标签数量有关.传统的算法仅仅局限于在小范围定位环境中选取3~5个参考标签,而在较大的定位环境中,距阅读器较远的相邻参考标签存在干扰近邻参考标签选取的情况,因此,需要选取较多的参考标签来辅助定位,然而随着选取参考标签数量的增加,定位误差越来越大.针对这一问题,在选取的参考标签中引入加权思想来优化计算过程中权重的分配,进而降低系统误差,提高定位精度.仿真实验结果表明,改进后的LANDMARC定位算法在选取较多参考标签的情况下具有较高的定位精度.
在射频识别RFID室内定位环境中,LANDMARC定位算法的精度与选取的近邻参考标签数量有关。传统的算法仅仅局限于在小范围定位环境中选取3~5个参考标签,而在较大的定位环境中,距阅读器较远的相邻参考标签存在干扰近邻参考标签选取的情况,因此,需要选取较多的参考标签来辅助定位,然而随着选取参考标签数量的增加,定位误差越来越大。针对这一问题,在选取的参考标签中引入加权思想来优化计算过程中权重的分配,进而降低系统误差,提高定位精度。仿真实验结果表明,改进后的LANDMARC定位算法在选取较多参考标签的情况下具有较高的定位精度。
Author 曹洁 牛丽波 王进花
AuthorAffiliation 兰州理工大学电气工程与信息工程学院,甘肃兰州730050 甘肃省制造业信息化工程技术研究中心,甘肃兰州730050
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CAO Jie
WANG Jin-hua
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DocumentTitleAlternate An improved LANDMARC RFID indoor location algorithm
DocumentTitle_FL An improved LANDMARC RFID indoor location algorithm
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Keywords reference tag
权重
参考标签
RFID室内定位
LANDMARC
RFID indoor location
weighted
Language Chinese
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Notes In the environment of RFID indoor location, the location accuracy of LANDMARC is af- fected by the number of neighboring reference tags. Traditional algorithms confine to selection of 3-5 reference tags in a small location environment. However, in a wide location environment, how to select neighboring reference tags is interfered by the neighboring reference tags which are far away from the readers . Therefore, more neighboring reference tags are required to assist locating. But as the number of neighboring reference tags increase the location error will increase accordingly. In order to solve this problem, we introduce the weighted idea in the neighboring reference tags to optimize the calculation of weight distribution, to reduce the error of the system and to thus improve the location accuracy. Simula- tion results show that the improved LANDMARC localization algorithm possesses higher accuracy in ca- ses of selecting more reference tags.
43-1258/TP
RFID indoor location ; LANDMARC ; reference tag; weighted
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Publisher 甘肃省制造业信息化工程技术研究中心,甘肃兰州730050%兰州理工大学电气工程与信息工程学院,甘肃兰州,730050
兰州理工大学电气工程与信息工程学院,甘肃兰州730050
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Snippet 在射频识别RFID室内定位环境中,LANDMARC定位算法的精度与选取的近邻参考标签数量有关。传统的算法仅仅局限于在小范围定位环境中选取3~5个参考标签,而在较大的定位环境中,距...
TP391.4; 在射频识别RFID室内定位环境中,LANDMARC定位算法的精度与选取的近邻参考标签数量有关.传统的算法仅仅局限于在小范围定位环境中选取3~5个参考标签,而在较大的定...
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StartPage 1671
SubjectTerms LANDMARC
RFID室内定位
参考标签
权重
Title 一种改进LANDMARC射频识别室内定位算法
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