| 基于群组的WI—FI指纹室内定位研究 |
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| 引用本文： | 李树军,于建江.基于群组的WI—FI指纹室内定位研究[J].长春光学精密机械学院学报,2013(6):153-156. |
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| 作者姓名： | 李树军 于建江 |
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| 作者单位： | [1]盐城师范学院信息科学与技术学院,盐城224002 [2]南京大学软件学院,南京210093 |
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| 基金项目： | 国家自然科学基金（61273106）,江苏省自然科学基金资助项目（BK2010293）. |
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| 摘 要： | WI-FI指纹定位是最常用的室内定位算法之一，但是WI-FI指纹定位存在较大的定位误差。为了提高定位精度，提出了基于群组的定位算法。首先在WI—FI指纹定位的基础上，提出了群组的概念，然后阐述了基于最小编辑距离的群组识别算法，最后利用群组中人与人之间的物理距离，设计了一种基于群组的定位算法。实验表明，基于群组的WI—FI指纹定位算法能明显减小WI-FI指纹定位的误差。
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| 关 键 词： | 室内定位 群组 WI-FI指纹定位 定位算法 |
Research on WI-FI Fingerprint Indoor Localization based on Group |
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| LI Shujun,YU Jianjiang.Research on WI-FI Fingerprint Indoor Localization based on Group[J].Journal of Changchun Institute of Optics and Fine Mechanics,2013(6):153-156. |
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| Authors: | LI Shujun YU Jianjiang |
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| Affiliation: | 1.School of Information Science and Technology, Yancheng Teachers University, Yancheng, 224002; 2.Software Institute, NanjingUniversity, Nanjing, 210093) |
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| Abstract: | WI-FI fingerprint is one of most common used indoor localization algorithms.However, there always existsig- nificant errors.To improve the accuracy of WI-FI fingerprint, WI-FI fingerprint localization algorithm based on group are designed and implemented in smart. In this paper, firstly the definition of a group is introduced, and then a Mini- mum Edit Distancebased algorithm to recognize groups is proposed. Exploiting the physical distance among people in the group, a localization algorithm is designed.Experiments showed thatthe accuracy of WI-FI fingerprint localization can be improved. |
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| Keywords: | Indoor localization group WI-FI fingerprint localization algorithm |
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