室内WLAN定位中位置指纹优化的接入点部署方法

周牧; 蒲巧林; 田增山

doi:10.11959/j.issn.1000-436x.2015279

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室内WLAN定位中位置指纹优化的接入点部署方法

学术论文 | 更新时间：2024-06-05

- 室内WLAN定位中位置指纹优化的接入点部署方法
- Location fingerprint optimization based access point deployment in indoor WLAN localization
- 通信学报 2015年36卷第Z1期页码：30-41
- 作者机构：
  
  重庆邮电大学移动通信技术重庆市重点实验室，重庆 400065
- 作者简介：
  
  [ "周牧（1984-），男，重庆人，博士，重庆邮电大学教授，主要研究方向为无线定位技术、机器学习与人工智能、凸优化理论。" ]
  [ "蒲巧林（1988-），女，重庆渝中人，重庆邮电大学硕士生，主要研究方向为无线定位技术、无线组网技术、定位安全、凸优化理论。" ]
  [ "田增山（1968-），男，河南固始人，博士，重庆邮电大学教授，主要研究方向为蜂窝网无线定位系统、个人通信、GPS精密定位和姿态测量、数据压缩和数据融合。" ]
- 基金信息：
  
  长江学者和创新团队发展计划基金资助项目(IRT1299);国家自然科学基金资助项目(61301126);国家自然科学基金资助项目(61471077);重庆市科委重点实验室专项经费资助项目（CSTC）
- DOI：10.11959/j.issn.1000-436x.2015279
  中图分类号： TP391
- 网络出版日期：2015-11，
  
  纸质出版日期：2015-11-25
- 稿件说明：
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周牧, 蒲巧林, 田增山. 室内WLAN定位中位置指纹优化的接入点部署方法[J]. 通信学报, 2015,36(Z1):30-41.

Mu ZHOU, Qiao-lin PU, Zeng-shan TIAN. Location fingerprint optimization based access point deployment in indoor WLAN localization[J]. Journal on communications, 2015, 36(Z1): 30-41.
周牧, 蒲巧林, 田增山. 室内WLAN定位中位置指纹优化的接入点部署方法[J]. 通信学报, 2015,36(Z1):30-41. DOI： 10.11959/j.issn.1000-436x.2015279.

Mu ZHOU, Qiao-lin PU, Zeng-shan TIAN. Location fingerprint optimization based access point deployment in indoor WLAN localization[J]. Journal on communications, 2015, 36(Z1): 30-41. DOI： 10.11959/j.issn.1000-436x.2015279.

摘要

提出了一种新的室内WLAN定位中指纹优化的接入点（AP）部署方法。首先在最大化不同位置指纹信号强度间欧式距离的基础上构造注水优化模型，然后经过多次迭代的过零调整及离散调整处理，得到各AP候选位置的非负离散权重，最后根据最大平均权重准则，合理部署AP进而优化位置指纹。实验表明，所提方法能够获得较高的位置指纹定位精度及较低的AP优化位置搜索时间开销。

Abstract

A novel access point (AP) deployment approach by optimizing the location fingerprints in indoor WLAN localization was proposed.Firstly

constructing the water-filling optimization model based on the maximum of the Euclidean distance of RSS between every two location fingerprints.Secoudly

after the process of the iterative cross-zero adjustment and discrete adjustment

the nonnegative and discrete weights of candidate AP locations were obtained.Finally

by using the criterion of maximum average weight

the APs

and consequently optimize the location fingerprints were deployed rationally.The experimental results demonstrate that the proposed approach is able to achieve high location fingerprint based localization precision

as well as consume low time overhead involved in the optimal AP location searching.

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references

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