Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network

In this article, a water vapor density inversion model based on the long short-term memory network is proposed for E-band commercial microwave links (CMLs). A full-duplex E-band microwave link located in Prague (two sublinks with frequencies of 73.5 and 83.5 GHz, both vertically polarized) was used...

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Main Authors: Kang Pu, Xichuan Liu, Lei Liu, Taichang Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9403868/
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author Kang Pu
Xichuan Liu
Lei Liu
Taichang Gao
author_facet Kang Pu
Xichuan Liu
Lei Liu
Taichang Gao
author_sort Kang Pu
collection DOAJ
description In this article, a water vapor density inversion model based on the long short-term memory network is proposed for E-band commercial microwave links (CMLs). A full-duplex E-band microwave link located in Prague (two sublinks with frequencies of 73.5 and 83.5 GHz, both vertically polarized) was used to verify the performance of the model. The results show that the model inversion results are in good agreement with the water vapor density calculated by temperature and humidity sensors. Compared with previous water vapor inversion methods based on CMLs, this model has a higher temporal resolution and can realize real-time monitoring.
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spelling doaj.art-f7a6e1431f04437a8bb9ddf9ec5d15b22022-12-21T18:23:11ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01144330433810.1109/JSTARS.2021.30730139403868Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM NetworkKang Pu0https://orcid.org/0000-0002-7684-9102Xichuan Liu1https://orcid.org/0000-0002-3393-3988Lei Liu2https://orcid.org/0000-0002-9330-4315Taichang Gao3https://orcid.org/0000-0003-3629-1893College of Meteorology and Oceanography, National University of Defense Technology, Changsha, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha, ChinaIn this article, a water vapor density inversion model based on the long short-term memory network is proposed for E-band commercial microwave links (CMLs). A full-duplex E-band microwave link located in Prague (two sublinks with frequencies of 73.5 and 83.5 GHz, both vertically polarized) was used to verify the performance of the model. The results show that the model inversion results are in good agreement with the water vapor density calculated by temperature and humidity sensors. Compared with previous water vapor inversion methods based on CMLs, this model has a higher temporal resolution and can realize real-time monitoring.https://ieeexplore.ieee.org/document/9403868/E-bandhumidity monitoringwireless communication network
spellingShingle Kang Pu
Xichuan Liu
Lei Liu
Taichang Gao
Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
E-band
humidity monitoring
wireless communication network
title Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network
title_full Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network
title_fullStr Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network
title_full_unstemmed Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network
title_short Water Vapor Retrieval Using Commercial Microwave Links Based on the LSTM Network
title_sort water vapor retrieval using commercial microwave links based on the lstm network
topic E-band
humidity monitoring
wireless communication network
url https://ieeexplore.ieee.org/document/9403868/
work_keys_str_mv AT kangpu watervaporretrievalusingcommercialmicrowavelinksbasedonthelstmnetwork
AT xichuanliu watervaporretrievalusingcommercialmicrowavelinksbasedonthelstmnetwork
AT leiliu watervaporretrievalusingcommercialmicrowavelinksbasedonthelstmnetwork
AT taichanggao watervaporretrievalusingcommercialmicrowavelinksbasedonthelstmnetwork