Bidirectional LSTM for ionospheric vertical Total Electron Content (TEC) forecasting

NSSC OpenIR > 空间环境部

	Bidirectional LSTM for ionospheric vertical Total Electron Content (TEC) forecasting
	Sun, Wenqing; Xu, Long; Huang, Xin; Zhang, Weiqiang; Yuan, Tianjiao; Yan, Yihua
作者部门	空间环境部
会议录名称	2017 IEEE Visual Communications and Image Processing, VCIP 2017
	2018
页码	1-4
语种	英语
ISBN号	9781538604625
摘要	The ionosphere is a region over earth's atmosphere which is ionized by solar radiation. It plays an important part in atmospheric electricity and forms the inner edge of the magnetosphere, furthermore, it has practical importance for its effects on radio propagation to earth. Accordingly, its cyclic changes and disturbances could influence communication, navigation, radar seriously. Total Electron Content (TEC) is an important parameter reflecting ionospheric significant characteristic. We can analyse ionospheric disturbance and cyclic change by investigating TEC. Now, the time sequence of TEC and relevant parameters is available for our research. In addition, Bidirectional long short-term memory (Bi-LSTM) is believed to have potential in time sequence processing. Hence, we investigate TEC forecast by referring to Bi-LSTM in this work. Experimental results demonstrate that Bi-LSTM can capture the cyclic change feature of TEC, and perform better than LSTM and multi-LSTM for TEC forecast. © 2017 IEEE.
关键词	Ionosphere Total Electron Content Deep Learning Bidirectional Long Short-term Memory Forecast
会议名称	2017 IEEE Visual Communications and Image Processing, VCIP 2017
会议日期	December 10, 2017 - December 13, 2017
会议地点	St. Petersburg, FL, United states
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.nssc.ac.cn/handle/122/6377
专题	空间环境部
推荐引用方式 GB/T 7714	Sun, Wenqing,Xu, Long,Huang, Xin,et al. Bidirectional LSTM for ionospheric vertical Total Electron Content (TEC) forecasting[C],2018:1-4.

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