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Indoor localization by WiFi

Timea Bagosi, Z. Baruch

发表年份
2011
引用次数
32

摘要

The demand for accurate indoor localization techniques is increasing. The existing infrastructure of 802.11 WiFi networks can be exploited to position a device in a building. In this paper a positioning system is presented to locate a robot device in the Faculty of Computer Science building. Several techniques are experimented and the algorithms K Nearest-Neighbours (KNN), weighted KNN, weighted Centroid, and Gaussian kernel methods are implemented and compared.

关键词

Computer scienceCentroidIndoor positioning systemKernel (algebra)Position (finance)RobotArtificial intelligencek-nearest neighbors algorithmGaussianWireless lan

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