具有环境自适应性的虚拟参考标签定位方法

doi:10.3969/j.issn.0255-8297.2013.04.011

应用科学学报 ›› 2013, Vol. 31 ›› Issue (4): 402-410.doi: 10.3969/j.issn.0255-8297.2013.04.011

具有环境自适应性的虚拟参考标签定位方法

李军怀，张果谋，于蕾，张璟

西安理工大学计算机科学与工程学院，西安710048

收稿日期:2011-11-10 修回日期:2012-11-16 出版日期:2013-07-27 发布日期:2012-11-16
通信作者: 李军怀，博士，教授，研究方向：物联网技术、网络计算，E-mail: lijunhuai@xaut.edu.cn
作者简介:李军怀，博士，教授，研究方向：物联网技术、网络计算，E-mail: lijunhuai@xaut.edu.cn；张璟，教授，博导，研究方向：分布式计算、虚拟化技术、云计算，E-mail: zhangjing@xaut.edu.cn
基金资助:
国家自然科学基金(No.61172018)；陕西省科技攻关项目基金(No.2009K08-24, No.2011NXC01-12)；西安市科技项目基金(No.CXY09020)；陕西省教育厅科技项目基金(No.09JK659, No.2010JC15)资助

Environmental-Adaptive Localization Method Based on Virtual Reference Tags

LI Jun-huai, ZHANG Guo-mou, YU Lei, ZHANG Jing

School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China

Received:2011-11-10 Revised:2012-11-16 Online:2013-07-27 Published:2012-11-16

摘要/Abstract

摘要： 在基于接收信号强度指示(received signal strength indicator, RSSI) 的射频识别(radio frequency identification, RFID) 室内定位系统中，由于环境干扰的非均匀性，定位环境中不同区域的信号传播模型存在差异. 为此提出一种基于区域划分的定位方法，将定位区域划分为多个三角形子区域. 定位过程中依据待定位标签的
RSSI 值经多轮投票机制确定其所在子区域，然后分别估算各子区域的环境因子和路径损耗值来建立子区域的定位模型，实现环境自适应. 在此基础上引入虚拟参考标签概念，在定位区域内构造虚拟信号强度空间，并提出一种最近邻K 值自校正方法选择最近邻标签，采用最近邻方法进行定位坐标计算. 仿真结果表明，在复杂的低标签密度环境下，定位精度和稳定性比经典的LANDMARC 和VIRE 方法有显著提高.

关键词: 射频识别, 室内定位, 环境自适应, 虚拟参考标签

Abstract: In an RSSI-based RFID indoor localization system, the signal propagation model in each subregion is different from others due to heterogeneity of environmental interference distribution in the area. A region division-based localization method is proposed to divide the localization region into many triangle subregions.A multi-round voting method is used to search the sub-region where the target object is located.We then build a signal propagation model by estimating the environmental factor and path loss value of that sub-region. By introducing virtual reference tags, we construct a virtual signal strength space and find the nearest neighbor tags, and then calculate coordinates of the target with a self-correcting K nearest neighbor algorithm presented in this paper. Simulation experiments show that estimation accuracy and adaptability of the proposed method are significantly higher than that of LANDMARC and VIRE, especially in complex and low tag density environments.

Key words: RFID, indoor location, environmental-adaptive, virtual reference tag

中图分类号:

TP391
TP393

李军怀，张果谋，于蕾，张璟. 具有环境自适应性的虚拟参考标签定位方法[J]. 应用科学学报, 2013, 31(4): 402-410.

LI Jun-huai, ZHANG Guo-mou, YU Lei, ZHANG Jing. Environmental-Adaptive Localization Method Based on Virtual Reference Tags[J]. Journal of Applied Sciences, 2013, 31(4): 402-410.

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具有环境自适应性的虚拟参考标签定位方法

Environmental-Adaptive Localization Method Based on Virtual Reference Tags

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