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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| 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: | |
| Online Access: | https://doi.org/10.1007/s44285-024-00021-4 |
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