加入虚拟标签的射频识别室内定位算法

doi:10.13229/j.cnki.jdxbgxb201506024

吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 1887-1894.doi: 10.13229/j.cnki.jdxbgxb201506024

加入虚拟标签的射频识别室内定位算法

陈增强^1，2，3，国峰^1，2，牛攀峰^1，2，张青³

1.南开大学计算机与控制工程学院,天津 300071;
2.南开大学天津市智能机器人技术重点实验室, 天津 300071;
3.中国民航大学理学院,天津 300300

收稿日期:2014-02-08 出版日期:2015-11-01 发布日期:2015-11-01
作者简介:陈增强(1964-),男,教授,博士生导师.研究方向:智能预测控制,智能物联系统,多智能体系统控制.E-mail:chenzq@nankai.edu.cn
基金资助:
国家自然科学基金项目(61174094); 天津市自然科学基金项目(14JCYBJC18700,13JCYBJC17400)

Radio frequency identification indoor location algorithm with virtual tags

CHEN Zeng-qiang^1,2,3, GUO Feng^1,2, NIU Pan-feng^1,2, ZHANG Qing³

1.College of Computer & Control Engineering, Nankai University, Tianjin, 300071, China;
2.Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, 300071, China;
3.College of Science, Civil Aviation University of China, Tianjin 300300, China

Received:2014-02-08 Online:2015-11-01 Published:2015-11-01

摘要/Abstract

摘要：

在路标(LANDMARC)定位算法的基础上,提出把多个参考标签作为一个整体来与待定位标签比较RSSI值,先找出待定位标签所在的区域范围,并在此区域范围内线性添加一些虚拟参考标签,最后通过加权估计来确定待定位标签的位置坐标。仿真实验和硬件测试结果表明:改进后的算法在没有增加任何硬件成本的同时,具有更好的稳定性和抗干扰性,并且定位精度也有显著提高,更适用于室内定位。

关键词: 计算机应用, 无源射频识别, 定位系统, 路标算法, 参考标签, 虚拟标签

Abstract:

This paper proposes a method to compare the Received Signal Strength Indicator (RSSI) of target tag with the RSSI of reference tags while taking many reference tags as a whole. First, this method figures out the area of target tag; then adds virtual reference tags in this area; and finally determines the position of target tag via weighted estimate. The simulation and hardware experiments demonstrate that the improved algorithm has better stability and stronger anti-interference without increasing any physical cost. Besides, the location accuracy is enhanced obviously, thus the algorithm is more applicable to indoor location system.

Key words: computer application, passive radio frequency identification, location system, LANDMARC algorithm, reference tag, virtual tag

中图分类号:

TN911.23

陈增强，国峰，牛攀峰，张青. 加入虚拟标签的射频识别室内定位算法[J]. 吉林大学学报(工学版), 2015, 45(6): 1887-1894.

CHEN Zeng-qiang, GUO Feng, NIU Pan-feng, ZHANG Qing. Radio frequency identification indoor location algorithm with virtual tags[J]. 吉林大学学报(工学版), 2015, 45(6): 1887-1894.

参考文献

[1] 王文峰,耿力. 基于射频识别的实时定位系统技术研究[J]. 信息技术与标准化,2007(7):21-24.
Wang Wen-feng, Geng Li. Research on real time locating system technology based on RFID[J]. Tracks for Standard & Technology,2007(7): 21-24.
[2] 李敏波,金祖旭,陈晨. 射频识别在物流跟踪与追溯系统中的应用[J]. 计算机集成制造系统, 2010,16(1):202-208.
Li Min-bo, Jin Zu-xu, Chen Chen. Application of RFID on products tracking and tracing system[J]. Computer Integrated Manufacturing Systems, 2010,16(1):202-208.
[3] 臧传真,范玉顺. 基于智能物件的制造企业复杂事件处理研究[J]. 计算机集成制造系统, 2007,13(11):2243-2253.
Zang Chuan-zhen, Fan Yu-shun. Complex event processing of manufacturing enterprises based on smartItems[J]. Computer Integrated Manufacturing Systems,2007,13(11):2243-2253.
[4] 黄刚,钟小勇,龙渊铭,等. 基于数据云服务与应用云分离模式的制造资源云定位服务平台[J]. 计算机集成制造系统,2011,17(3):520-524.
Huang Gang, Zhong Xiao-yong, Long Yuan-ming, et al. Manufacturing resources cloud locating services platform based on separated data cloud and application cloud[J]. Computer Integrated Manufacturing Systems,2011,17(3):520-524.
[5] Headley W C, da Silva C R C M, Buehrer R M. Indoor location positioning of non-active objects using ultra-wideband radios[C]∥2007 IEEE Radio and Wireless Symposium, Long Beach, CA, USA, 2007:105-108.
[6] 王远哲,毛陆虹,刘辉,等. 基于参考标签的射频识别定位算法研究与应用[J]. 通信学报,2010,31(2): 2076-2081.
Wang Yuan-zhe,Mao Lu-hong,Liu Hui, et al. Research and application of RFID location algorithm based on reference tags[J]. Journal on Communications,2010,31(2):2076-2081.
[7] Zhou Jun-ru, Zhang Hong-jian, Mo Ling-fei. Two-dimension localization of passive RFID tags using AOA estimation[C]∥2011 IEEE Instrumentation and Measurement Technology Conference, Binjiang,2011:1-5.
[8] Ai Zhong-jin, Liu Ye. Research on the TDOA measurement of active RFID real time location system[C]∥3rd IEEE International Conference on Computer Science and Information Technology, Chengdu,China,2010:410-412.
[9] Hightower J, Want R, Borriello G. SpotON: an indoor 3D location sensing technology based on RF signal strength[R]. Technical Report UW CSE, University of Washington,Seattle WA, 2000:1-16.
[10] Montemerlo M,Thrun S, Koller D,et al. FastSLAM: a factored solution to the simultaneous localization and mapping problem[C]∥In Proceedings of the AAAI National Conference on Artificial Intelligence, Edmonton,Canada,2002:593-598.
[11] Ni L M, Liu Y H, Lau Y C,et al. LANDMARC: indoor location sensing using active RFID[C]∥Proceedings of the First IEEE International Conference,Fort Worth,2003:407-415.
[12] Zhao Y Y, Liu Y H, Ni L M. VIRE: active RFID-based localization using virtual reference elimination[C]∥IEEE International Conference on Parallel Processing, Xi'an,China,2007: 56-64.
[13] Niu Pan-feng,Chen Zeng-qiang, Li Yi-bo,et al. Location based on passive RFID by using least squares SVM[C]∥Asia Simulation Conference & the International Conference on System Simulation and Scientific Computing, Shanghai, China, 2012:265-274.

相关文章 15

[1]	刘富,宗宇轩,康冰,张益萌,林彩霞,赵宏伟. 基于优化纹理特征的手背静脉识别系统[J]. 吉林大学学报(工学版), 2018, 48(6): 1844-1850.
[2]	王利民,刘洋,孙铭会,李美慧. 基于Markov blanket的无约束型K阶贝叶斯集成分类模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1851-1858.
[3]	金顺福,王宝帅,郝闪闪,贾晓光,霍占强. 基于备用虚拟机同步休眠的云数据中心节能策略及性能[J]. 吉林大学学报(工学版), 2018, 48(6): 1859-1866.
[4]	赵东,孙明玉,朱金龙,于繁华,刘光洁,陈慧灵. 结合粒子群和单纯形的改进飞蛾优化算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1867-1872.
[5]	刘恩泽,吴文福. 基于机器视觉的农作物表面多特征决策融合病变判断算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1873-1878.
[6]	欧阳丹彤, 范琪. 子句级别语境感知的开放信息抽取方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1563-1570.
[7]	刘富, 兰旭腾, 侯涛, 康冰, 刘云, 林彩霞. 基于优化k-mer频率的宏基因组聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1593-1599.
[8]	桂春, 黄旺星. 基于改进的标签传播算法的网络聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1600-1605.
[9]	刘元宁, 刘帅, 朱晓冬, 陈一浩, 郑少阁, 沈椿壮. 基于高斯拉普拉斯算子与自适应优化伽柏滤波的虹膜识别[J]. 吉林大学学报(工学版), 2018, 48(5): 1606-1613.
[10]	车翔玖, 王利, 郭晓新. 基于多尺度特征融合的边界检测算法[J]. 吉林大学学报(工学版), 2018, 48(5): 1621-1628.
[11]	赵宏伟, 刘宇琦, 董立岩, 王玉, 刘陪. 智能交通混合动态路径优化算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12]	黄辉, 冯西安, 魏燕, 许驰, 陈慧灵. 基于增强核极限学习机的专业选择智能系统[J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13]	傅文博, 张杰, 陈永乐. 物联网环境下抵抗路由欺骗攻击的网络拓扑发现算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14]	曹洁, 苏哲, 李晓旭. 基于Corr-LDA模型的图像标注方法[J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15]	侯永宏, 王利伟, 邢家明. 基于HTTP的动态自适应流媒体传输算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

加入虚拟标签的射频识别室内定位算法

Radio frequency identification indoor location algorithm with virtual tags

RICH HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0