A Probabilistic Approach to WLAN User Location Estimation

被引：532

作者：

Roos T. ^{[1
]}

Myllymäki P. ^{[1
]}

Tirri H. ^{[1
]}

Misikangas P. ^{[2
]}

Sievänen J. ^{[2
]}

机构：

[1] Complex Systems Computation Group, Helsinki Inst. for Info. Technology, P. O. Box 9800

[2] Ekahau Inc., Salomonkatu 17 B

来源：

International Journal of Wireless Information Networks | 2002年 / 9卷 / 03期

基金：

芬兰科学院;

关键词：

Location estimation; Machine learning; Mobile terminals; Probabilistic modeling; WLAN;

D O I：

10.1023/A:1016003126882

中图分类号：

学科分类号：

摘要：

We estimate the location of a WLAN user based on radio signal strength measurements performed by the user's mobile terminal. In our approach the physical properties of the signal propagation are not taken into account directly. Instead the location estimation is regarded as a machine learning problem in which the task is to model how the signal strengths are distributed in different geographical areas based on a sample of measurements collected at several known locations. We present a probabilistic framework for solving the location estimation problem. In the empirical part of the paper we demonstrate the feasibility of this approach by reporting results of field tests in which a probabilistic location estimation method is validated in a real-world indoor environment.

引用

页码：155 / 164

页数：9

共 23 条

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