Indoor Positioning with CNN and Path-Loss Model Based on Multivariable Fingerprints in 5G Mobile Communication System

Many application scenarios require indoor positioning in fifth generation (5G) mobile communication systems in recent years. However, non-line of sight and multipath propagation lead to poor accuracy in a traditionally received signal strength-based fingerprints positioning system. In this paper, we...

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Main Authors: Yuhang Wang, Kun Zhao, Zhengqi Zheng, Wenqing Ji, Shuai Huang, Difeng Ma
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Sensors
Assuntos:
indoor positioning
multivariable fingerprints
convolutional neural network
path-loss model
5G
Acesso em linha:https://www.mdpi.com/1424-8220/22/9/3179
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