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基于接收信号强度非齐性分布特征的半监督学习室内定位指纹库构建

李世宝 王升志 刘建航 黄庭培 张鑫

李世宝, 王升志, 刘建航, 黄庭培, 张鑫. 基于接收信号强度非齐性分布特征的半监督学习室内定位指纹库构建[J]. 电子与信息学报, 2019, 41(10): 2302-2309. doi: 10.11999/JEIT180599
引用本文: 李世宝, 王升志, 刘建航, 黄庭培, 张鑫. 基于接收信号强度非齐性分布特征的半监督学习室内定位指纹库构建[J]. 电子与信息学报, 2019, 41(10): 2302-2309. doi: 10.11999/JEIT180599
Shibao LI, Shengzhi WANG, Jianhang LIU, Tingpei HUANG, Xin ZHANG. Semi-supervised Indoor Fingerprint Database Construction Method Based on the Nonhomogeneous Distribution Characteristic of Received Signal Strength[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2302-2309. doi: 10.11999/JEIT180599
Citation: Shibao LI, Shengzhi WANG, Jianhang LIU, Tingpei HUANG, Xin ZHANG. Semi-supervised Indoor Fingerprint Database Construction Method Based on the Nonhomogeneous Distribution Characteristic of Received Signal Strength[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2302-2309. doi: 10.11999/JEIT180599

基于接收信号强度非齐性分布特征的半监督学习室内定位指纹库构建

doi: 10.11999/JEIT180599
基金项目: 国家自然科学基金(61972417, 61601519, 61872385),中央高校基本科研业务费专项资金(18CX02134A, 18CX02137A, 18CX02133A,19CX05003A-4)
详细信息
    作者简介:

    李世宝:男,1978年生,副教授,研究方向为移动计算、无线传感器网络、干扰对齐等

    王升志:男,1994年生,硕士生,研究方向为无线定位技术

    刘建航:男,1978年生,副教授、博士,研究方向为无线局域网、车联网

    黄庭培:女,1980年生,讲师、博士,研究方向为无线传感器网络

    张鑫:男,1993年生,硕士生,研究方向为无线定位技术

    通讯作者:

    李世宝 lishibao@upc.edu.cn

  • 中图分类号: TN929.5

Semi-supervised Indoor Fingerprint Database Construction Method Based on the Nonhomogeneous Distribution Characteristic of Received Signal Strength

Funds: The National Natural Science Foundation of China (61972417, 61601519, 61872385), The Fundamental Research Funds for the Central Universities (18CX02134A, 18CX02137A, 18CX02133A, 19CX05003A-4)
  • 摘要: 室内定位中半监督学习的指纹库构建方法能够降低人力开销,但忽略了高维接收信号强度(RSS)数据不均匀的非齐分布特点,影响定位精度,针对此问题该文提出一种基于RSS非齐性分布特征的半监督流形对齐指纹库构建方法。该算法运用局部RSS尺度参数以及共享近邻相似性构造权重矩阵,得到精确反映RSS数据流形结构的权重图,利用该权重图通过求解流形对齐的目标函数最优解,实现运用少量标记数据对大量未标记数据的位置标定。实验结果表明,该算法可以显著降低离线阶段数据采集的工作量,同时可以取得较高的定位精度。
  • 图  1  RSS非齐性分布示意图

    图  2  3个数据集RSS数据疏密分布

    图  3  TUT数据集各参考点RSS疏密程度

    图  4  3个房间的RSS数据在LDA下2维空间分布

    图  5  算法示意图

    图  6  实验环境平面图

    图  7  不同算法定位性能

    图  8  不同比例指纹数下的定位精度下降比率

    图  9  不同算法构建指纹库时间消耗

    图  10  AP个数对定位精度的影响

    图  11  共同近邻相似性中邻居数对定位性能影响

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出版历程
  • 收稿日期:  2018-06-20
  • 修回日期:  2019-02-28
  • 网络出版日期:  2019-03-30
  • 刊出日期:  2019-10-01

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