Neural network recognition of ionospheric anomaly events based on GNSS RO data-Reference-Cited by-同舟云学术

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Neural network recognition of ionospheric anomaly events based on GNSS RO data

Published:2021-12-01 Issue: Volume: Page:
ISSN:
Container-title:2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE)
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Author:

Ma Zhengzheng¹,Xu Bin¹,Ren Yali¹

Affiliation:

1. China Research Institute of Radiowave Propagation,Qingdao,Shandong,China,266107

Funder

National Key Laboratory Foundation of Electromagnetic Environment

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752774/9752691/09753460.pdf?arnumber=9753460

Reference10 articles.

1. Numerical simulation of ionospheric modification by three representative chemical releases;lyu;Chinese Journal of Radio Science,2018

2. Study on the influence of disturbed ionosphere on short wave communication;huang;Chinese Journal of Radio Science,1989

3. Statistical research of Es distribution in inland areas of China based on COSMIC occultation observations;xue;Chinese journal of geophysics,2018

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