A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems
- DOI
- 10.1007/s44285-024-00021-4
- Published
- 2024-10-17
- Container
- Urban Lifeline
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s44285-024-00021-4,
title = {A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems},
author = {Chenlin He and Xiaojun Wang and Jiyu Jiao and Yuhua Huang and Chengpei Han and Yizhuo Zhang and Jianping Zhu},
year = {2024},
journal = {Urban Lifeline},
doi = {10.1007/s44285-024-00021-4},
url = {https://doi.org/10.1007/s44285-024-00021-4}
}RIS
TY - JOUR TI - A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems AU - Chenlin He AU - Xiaojun Wang AU - Jiyu Jiao AU - Yuhua Huang AU - Chengpei Han AU - Yizhuo Zhang AU - Jianping Zhu PY - 2024 JO - Urban Lifeline DO - 10.1007/s44285-024-00021-4 UR - https://doi.org/10.1007/s44285-024-00021-4 ER -
APA
He, C., Wang, X., Jiao, J., Huang, Y., Han, C., Zhang, Y., & Zhu, J. (2024). A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems. Urban Lifeline. https://doi.org/10.1007/s44285-024-00021-4
Source records
- crossref · retrieved 2026-09-26T08:57:43.994Z