上海大学学报(自然科学版) ›› 2013, Vol. 19 ›› Issue (2): 126-131.doi: 10.3969/j.issn.1007-2861.2013.02.004

• 通信与信息工程 • 上一篇    下一篇

蓝牙4.0标准规范下的模糊指纹定位算法

李娟娟1, 张金艺1,2,3, 张秉煜1, 周荣俊2, 唐夏2   

  1. 1. 上海大学特种光纤与光接入网省部共建重点实验室, 上海200072; 2. 上海大学微电子研究与开发中心, 上海200072;
    3. 上海大学新型显示与系统应用重点实验室, 上海200072
  • 收稿日期:2012-04-28 出版日期:2013-04-30 发布日期:2013-04-30
  • 通讯作者: 张金艺(1965—), 男, 研究员, 博士生导师, 博士, 研究方向为通信类SoC设计与无线传感器网络. E-mail:zhangjinyi@staff.shu.edu.cn
  • 基金资助:

    上海市科委基金重点资助项目(08706201000, 08700741000); 上海市教委重点学科建设资助项目(J50104)

Fuzzy Fingerprint Location for Bluetooth Specification Version 4.0

LI Juan-juan1, ZHANG Jin-yi1,2,3, ZHANG Bing-yu1, ZHOU Rong-jun2, TANG Xia2   

  1. 1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China;
    2. Microelectronic Research and Development Center, Shanghai University, Shanghai 200072, China;
    3. Key Laboratory of Advanced Displays and System Application, Shanghai University, Shanghai 200072, China
  • Received:2012-04-28 Online:2013-04-30 Published:2013-04-30

摘要: 蓝牙技术的普及以及蓝牙4.0标准规范的提出, 使得利用蓝牙技术实现室内定位具有极其广阔的应用前景.把模糊理论应用于蓝牙室内定位系统, 提出一种模糊指纹定位算法. 基于该算法的定位过程分为离线和在线两个阶段: 离线阶段建立模糊指纹库; 在线阶段对手机客户端进行实时模糊决策定位. 仿真实验结果表明, 该算法的平均定位误差为1.36 m, 相比于传统的指纹标定法, 其定位精度提高约49%, 而计算量缩减至原来的1/c, 其中c为模糊聚类类别数.

关键词: 蓝牙4.0标准规范, 模糊理论, 实时, 室内定位, 位置指纹

Abstract: Popularity of Bluetooth technology and the proposition of Bluetooth Specification Version 4.0 make indoor location have a broad application prospect. The fuzzy theory is applied in indoor location based on Bluetooth, and a fuzzy fingerprint location algorithm is proposed. The location process is divided into two parts: off-line and on-line. A fuzzy fingerprint database is established in the off-line stage, and real-time location of cell phone clients is realized in the on-line stage. Simulation results show that the average location error is 1.36 m. Compared with traditional fingerprint calibration method, location precision is improved by 49% and computation complexity is reduced to 1/c where c is the category number of fuzzy clustering.

Key words: location fingerprint, Bluetooth Specification Version 4.0, fuzzy theory, indoor location, real-time

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