An Informer Architecture-Based Ionospheric foF2 Model in the Middle Latitude Region

doi:10.1109/LGRS.2022.3160422

NTSC-IR > 导航与通信研究室

	An Informer Architecture-Based Ionospheric foF2 Model in the Middle Latitude Region
	Bi, Cheng 1; Ren, Peng 1; Yin, Ting 2; Zhang, Yang 1; Li, Bai 1; Xiang, Zheng 1
	2022
发表期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
卷号	19 页码:5
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.
关键词	Decoding Predictive models Feature extraction Indexes Transformers Ionosphere Deep learning Deep learning Informer ionospheric foF2
DOI	10.1109/LGRS.2022.3160422
关键词[WOS]	F(O)F(2)
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000777325900003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/13836
专题	导航与通信研究室
通讯作者	Bi, Cheng
作者单位	1.Xidian Univ, Sch Telecommun Engn, Xian 710000, Peoples R China 2.Chinese Acad Sci, Natl Time Serv Ctr, 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.