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计算机工程

• 开发研究与工程应用 • 上一篇    下一篇

基于RFID覆盖扫描的标签定位方法

李强,王玫,刘争红   

  1. (桂林电子科技大学 教育部认知无线电与信息处理重点实验室,广西 桂林 541004)
  • 收稿日期:2016-02-03 出版日期:2017-03-15 发布日期:2017-03-15
  • 作者简介:李强(1989—),男,硕士研究生,主研方向为室内定位技术;王玫,教授、博士生导师;刘争红,讲师。
  • 基金资助:
    国家自然科学基金“多跳无线网络位置感知与能效优化”(61172054)。

Tag Positioning Method Based on RFID Coverage and Scanning

LI Qiang,WANG Mei,LIU Zhenghong   

  1. (Key Laboratory of Cognitive Radio and Information Processing,Ministry of Education,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China)
  • Received:2016-02-03 Online:2017-03-15 Published:2017-03-15

摘要: 为提高接收信号强度指标室内定位精度,提出一种基于参考标签和旋转无线射频识别(RFID)阅读器的定位方法。在室内环境下手动旋转阅读器建立读写区域,将2个区域交点作为目标定位点的坐标估值。利用优化分析或聚类分析算法对估值点进行处理,从而得到精确定位值。实验结果表明,在2.8 m×2.8 m,5.6 m×5.6 m,8.4 m×8.4 m的室内环境下,该方法的定位误差分别低至4 cm,9 cm,18 cm,可满足仓库、超市等室内场景的定位要求。

关键词: 无线射频识别阅读器, 参考标签, 优化分析, 聚类分析, 室内定位

Abstract: In order to improve the precision of Received Signal Strength Indication(RSSI) indoor positioning,this paper puts forward an indoor RSSI positioning method based on reference tag and rotating Radio Frequency Identification(RFID) reader.In this method,tag is detected repeatedly for reconstructing reader’s reading area by manually rotating the reader.The coarse positioning points can be obtained according to two target reading area nodes.In order to get the accurate positioning value,these coarse positioning points are processed by optimization analysis or clustering analysis algorithm.Experimental results show that the positioning error of this method is as low as 4 cm,9 cm and 18 cm in indoor environment of 2.8 m×2.8.m,5.6 m×5.6 m and 8.4 m×8.4 m respectively,which meets the positioning requirements of the indoor scene like warehouse,supermarket and so on.

Key words: Radio Frequency Identification(RFID) reader, reference tag, optimization analysis, clustering analysis, indoor positioning

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