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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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