An Informer Architecture-Based Ionospheric foF2 Model in the Middle Latitude Region
文献类型：期刊论文
| 作者 | Bi, Cheng2; Ren, Peng2; Yin, Ting1; Zhang, Yang2; Li, Bai2; Xiang, Zheng2 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2022 |
| 卷号 | 19页码:5 |
| ISSN号 | 1545-598X |
| 关键词 | Decoding Predictive models Feature extraction Indexes Transformers Ionosphere Deep learning Deep learning Informer ionospheric foF2 |
| DOI | 10.1109/LGRS.2022.3160422 |
| 英文摘要 | Monitoring of critical frequency variation in the ionospheric F2 layer (foF2) has lately received considerable attention for the frequency selection in skywave communication. Currently, both the deep learning and machine learning model have made a striking accomplishment in comprehending the ionosphere. In this letter, we utilize an Informer architecture to predict the foF2 parameter under the two scenarios in terms of the quiet space weather and storm events. The Informer method applied the past and present foF2 samples to capture time sequence processing characteristics, trained and tested for 2017-2018 years' measurement samples at Beijing, China (40.3 degrees N, 116.2 degrees E). It is evident from the results that the Informer performed better than International Reference Ionosphere 2016, Elman network, long short-term memory (LSTM), and bidirectional LSTM models. The Informer models extensively captured the correlation within the foF2 sequence features and better predicted it in storm events. |
| WOS关键词 | F(O)F(2) |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000777325900003 |
| 源URL | [http://210.72.145.45/handle/361003/13836]  |
| 专题 | 国家授时中心_导航与通信研究室 |
| 通讯作者 | Bi, Cheng |
| 作者单位 | 1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710000, Peoples R China 2.Xidian Univ, Sch Telecommun Engn, Xian 710000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bi, Cheng,Ren, Peng,Yin, Ting,et al. An Informer Architecture-Based Ionospheric foF2 Model in the Middle Latitude Region[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2022,19:5. |
| APA | Bi, Cheng,Ren, Peng,Yin, Ting,Zhang, Yang,Li, Bai,&Xiang, Zheng.(2022).An Informer Architecture-Based Ionospheric foF2 Model in the Middle Latitude Region.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19,5. |
| MLA | Bi, Cheng,et al."An Informer Architecture-Based Ionospheric foF2 Model in the Middle Latitude Region".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2022):5. |
入库方式： OAI收割
来源：国家授时中心
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