基于WiFi指纹和计算智能分类器的室内拓扑定位

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI:10.1109/ISDA.2011.6121792

Pablo Menendez, Carmen Campomanes, Krzysztof Trawiński, J. M. Alonso

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引用次数: 6

摘要

本文介绍了一种新的室内环境中人的定位系统。它主要是基于一个智能分类器，能够区分一组预定义的和识别良好的拓扑位置。我们采用WiFi信号强度指纹方法，大部分工作在训练阶段完成，而在线执行快速有效。我们的建议已经在一个真实的环境中进行了测试，收集了五个不同的实验阶段的数据。取得的结果令人鼓舞，因为它们克服了众所周知的最近邻指纹匹配算法提供的结果，该算法通常被认为是WiFi定位的基线。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Topology-based indoor localization by means of WiFi fingerprinting with a computational intelligent classifier

This paper introduces a new system for people localization in indoor environments. It is mainly based on an intelligent classifier able to distinguish among a set of predefined and well identified topological locations. We adopt a WiFi signal strength fingerprint approach where most effort is done during the training phase, while online execution is fast and effective. Our proposal has been tested in a real environment with data collected in five different experimental sessions. Achieved results are encouraging since they overcome those ones provided by the well-known nearest neighbour fingerprint matching algorithm, that is usually considered as baseline for WiFi localization.

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2011 11th International Conference on Intelligent Systems Design and Applications

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