基于最近邻居的区域定位改进算法 -- 西北工业大学学报,2015,33(1):93-97
论文:2015,Vol:33,Issue(1):93-97
引用本文:
马捷中, 刘云超, 郭阳明, 何佩. 基于最近邻居的区域定位改进算法[J]. 西北工业大学学报
Ma Jiezhong, Liu Yunchao, Guo Yangming, He Pei. Improving Location Algorithm with LANDMARC System[J]. Northwestern polytechnical university

基于最近邻居的区域定位改进算法
马捷中, 刘云超, 郭阳明, 何佩
西北工业大学计算机学院, 陕西西安 710072
摘要:
在分析基于RSSI的LANDMARC定位系统及算法的基础上,提出了一种改进三角区域定位方法,消除了远距离不良参考标签对定位精度的影响。同时,在布置有大量阅读器的场合,该法可有效减少计算量。Matlab仿真结果表明,该算法具有更高的定位精度。
关键词:    RFID    室内定位    LANDMARC    区域定位   
Improving Location Algorithm with LANDMARC System
Ma Jiezhong, Liu Yunchao, Guo Yangming, He Pei
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
This paper briefly introduced some common indoor positioning technologies and analyzed the LANDMARC system which is based on RSSI and its algorithm. On the basis of it, we proposed a triangle region positioning method which can eliminate the bad influence on the positioning precision produced by the long-range reference labels and effectively reduces the amount of computation when there are a large number of readers. The simulation results obtained with MATLAB and their analysis show preliminarily that the algorithm proposed in this paper gives higher precision.
Key words:    computer simulation    data acquisition    errors    MATLAB    matrix algebra    quality of service    radio frequency identification(RFID)    servers    indoor positioning    LANDMARC    region positioning   
收稿日期: 2014-05-12     修回日期:
DOI:
基金项目: 西安市科技计划项目(CXY1350)、航空科学基金(2013ZD53051)、航天支撑技术基金、国家自然科学基金(61371024)与中航产学研项目(CXY2013XGD14)资助
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作者简介: 马捷中(1967-),女,西北工业大学副教授,主要从事测试控制技术研究。
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