Channel state information–based multi-level fingerprinting for indoor localization with deep learning

With the rapid growth of indoor positioning requirements without equipment and the convenience of channel state information acquisition, the research on indoor fingerprint positioning based on channel state information is increasingly valued. In this article, a multi-level fingerprinting approach is...

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Bibliographic Details
Main Authors: Tao Li, Hai Wang, Yuan Shao, Qiang Niu
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2018-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718806719

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