A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems

A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems

Abstract The combination of fingerprint positioning and 5G (the 5th Generation Mobile Communication Technology) offers broader application prospects for indoor positioning technology, but also brings challenges in real-time performance. In this paper, we propose a fingerprint positioning method base...

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Bibliographic Details
Main Authors: Chenlin He, Xiaojun Wang, Jiyu Jiao, Yuhua Huang, Chengpei Han, Yizhuo Zhang, Jianping Zhu
Format: Article
Language:English
Published: Springer Nature 2024-10-01
Series:Urban Lifeline
Subjects:
Fingerprint positioning
Rapid positioning
Massive multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM)
Deep Convolutional Neural Network (DCNN)
Online Access:https://doi.org/10.1007/s44285-024-00021-4
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https://doi.org/10.1007/s44285-024-00021-4

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