基于DBSCAN-GRNN-LSSVR算法的WLAN异构终端定位方法
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  • 英文篇名:WLAN heterogeneous terminal location method based on DBSCAN-GRNN-LSSVR algorithm
  • 作者:张勇 ; 范恒 ; 王昱洁
  • 英文作者:Zhang Yong;Fan Heng;Wang Yujie;School of Computer & Information,Hefei University of Technology;
  • 关键词:WLAN室内定位 ; 异构终端 ; 最小二乘支持向量回归机 ; 具有噪声的基于密度聚类 ; 广义回归神经网络
  • 英文关键词:WLAN indoor localization;;heterogeneous terminal;;LSSVR;;DBSCAN;;GRNN
  • 中文刊名:JSYJ
  • 英文刊名:Application Research of Computers
  • 机构:合肥工业大学计算机与信息学院;
  • 出版日期:2018-02-09 12:31
  • 出版单位:计算机应用研究
  • 年:2019
  • 期:v.36;No.330
  • 基金:国家科技支撑计划资助项目(2013BAH52F01)
  • 语种:中文;
  • 页:JSYJ201904048
  • 页数:4
  • CN:04
  • ISSN:51-1196/TP
  • 分类号:220-223
摘要
针对WLAN室内定位系统中异构终端(指纹库终端和测试终端)引起的定位偏差过大的问题,提出一种基于DBSCAN-GRNN-LSSVR算法的解决方案。使用最小二乘支持向量回归机(LSSVR)构建指纹库终端接收信号强度(RSS)和物理坐标位置的映射关系模型;列出校准点处异构终端采集的RSS值,得到散点图;用基于密度聚类方法剔除边界点和噪声点;用广义回归神经网络构建异构终端RSS的映射函数;通过LSSVR模型定位测试点的位置。实验结果表明,与只用LSSVR算法相比,测试终端定位精度提高18%~40%,有效解决了定位偏差过大的问题。
        Aiming at the excessive location error caused by heterogeneous terminal( fingerprint database terminal and test terminal) in WLAN indoor localization system,this paper proposed a solution based on DBSCAN-GRNN-LSSVR algorithm. This paper employed the least square support vector regression( LSSVR) algorithm to build the mapping relationship model between the received signal strength( RSS) of fingerprint database terminal and physical coordinate locations. It obtained the scatter plot through listing the RSS values collected by the fingerprint database terminal and the test terminal at the calibration point.It eliminated the boundary points and noise points by density-based spatial clustering. It used generalized regression neural network( GRNN) to construct the heterogeneous terminal mapping function of the RSS. It used the LSSVR model to determine the location of the test point. The experiment proves,compared with LSSVR algorithm,using the proposed DBSCAN-GRNNLSSVR algorithm to calibrate the heterogeneous terminal,test terminal positioning accuracy increases by 18% ~ 40%,which effectively solves the problem of excessive localization deviation caused by heterogeneous terminals.
引文
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