Informer-based Long-Term Prediction Method for Radio Frequency Transfer System
An Informer-based long-term prediction method for radio frequency (RF) transfer system is proposed, with an RMSE of 0.0028 and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R^{2}$</tex> of 0.86, outperforming LSTM and RNN by 15% and 46%, respectively.
Authors
- Zhengkang Wang (ORCID: https://orcid.org/0000-0002-1021-6513)
- Yaojun Qiao (ORCID: https://orcid.org/0000-0001-7253-9839)
- Xinyu Miao
- Yuan Yao (ORCID: https://orcid.org/0000-0002-8276-3620)
- Buyun Ma (ORCID: https://orcid.org/0009-0009-7414-1192)
- Jiahui Cheng
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809602
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China