Enhancement of the Synthetic Storm Technique for the Prediction of Rain Attenuation Time Series at EHF
A physically based rain attenuation prediction model for Earth-space links, namely the enhanced synthetic storm technique (E-SST), is presented. Different from the original SST, the E-SST receives as input detailed information on the rain height and on the storm velocity, and it discriminates betwee...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on antennas and propagation 2020-07, Vol.68 (7), p.5592-5601 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 5601 |
---|---|
container_issue | 7 |
container_start_page | 5592 |
container_title | IEEE transactions on antennas and propagation |
container_volume | 68 |
creator | Luini, Lorenzo Panzeri, Alberto Riva, Carlo G. |
description | A physically based rain attenuation prediction model for Earth-space links, namely the enhanced synthetic storm technique (E-SST), is presented. Different from the original SST, the E-SST receives as input detailed information on the rain height and on the storm velocity, and it discriminates between stratiform and convective rain events having a different impact on the link. The rain attenuation prediction accuracy of E-SST, both as applied directly and as embedded into a more accurate frequency scaling technique, is evaluated against a full year of propagation data collected by the NASA equipment installed at Politecnico di Milano in the frame of the Alphasat Aldo Paraboni propagation experiment. To this aim, a novel methodology to isolate the contribution of rain attenuation from the received beacon power is devised and presented. Results indicate that E-SST represents an accurate and reliable tool for the prediction of rain attenuation at EHF, both on a statistical basis (direct application) and on an event basis (frequency scaling). |
doi_str_mv | 10.1109/TAP.2020.2981682 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2422048532</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9046250</ieee_id><sourcerecordid>2422048532</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-2c8a028e754a4f787d753e4981306fdf65c6c10f84d9bb6932ea00ad763554e03</originalsourceid><addsrcrecordid>eNo9kEFLAzEQhYMoWKt3wUvA89bJbLKbPZZSrSAoWsHbkmYnNGKzNZse_PemrXgaZnjvzczH2LWAiRDQ3C2nLxMEhAk2WlQaT9hIKKULRBSnbAQgdNFg9XHOLobhM7dSSzlibh7WJljaUEi8dzytib_9hFySt_wt9XHDl2TXwX_viLs-HhQvkTpvk-_D3vNqfODTlCjszGG29JucQtHTwE3i88X9JTtz5mugq786Zu_38-VsUTw9PzzOpk-FxUakAq02gJpqJY10ta67WpUk80clVK5zlbKVFeC07JrVqmpKJANguroqlZIE5ZjdHnO3sc8HD6n97Hcx5JUtSkSQWpWYVXBU2dgPQyTXbqPfmPjTCmj3NNtMs93TbP9oZsvN0eKJ6F_egKxQQfkLUF1vkg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2422048532</pqid></control><display><type>article</type><title>Enhancement of the Synthetic Storm Technique for the Prediction of Rain Attenuation Time Series at EHF</title><source>IEEE Electronic Library (IEL)</source><creator>Luini, Lorenzo ; Panzeri, Alberto ; Riva, Carlo G.</creator><creatorcontrib>Luini, Lorenzo ; Panzeri, Alberto ; Riva, Carlo G.</creatorcontrib><description>A physically based rain attenuation prediction model for Earth-space links, namely the enhanced synthetic storm technique (E-SST), is presented. Different from the original SST, the E-SST receives as input detailed information on the rain height and on the storm velocity, and it discriminates between stratiform and convective rain events having a different impact on the link. The rain attenuation prediction accuracy of E-SST, both as applied directly and as embedded into a more accurate frequency scaling technique, is evaluated against a full year of propagation data collected by the NASA equipment installed at Politecnico di Milano in the frame of the Alphasat Aldo Paraboni propagation experiment. To this aim, a novel methodology to isolate the contribution of rain attenuation from the received beacon power is devised and presented. Results indicate that E-SST represents an accurate and reliable tool for the prediction of rain attenuation at EHF, both on a statistical basis (direct application) and on an event basis (frequency scaling).</description><identifier>ISSN: 0018-926X</identifier><identifier>EISSN: 1558-2221</identifier><identifier>DOI: 10.1109/TAP.2020.2981682</identifier><identifier>CODEN: IETPAK</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Attenuation ; Clouds ; Extremely high frequencies ; Frequency scaling ; Military communications ; Prediction models ; Predictive models ; Propagation ; Rain ; rain attenuation ; Reliability ; satellite communications (SatCom) ; Storms ; synthetic storm technique (SST) ; Time series analysis</subject><ispartof>IEEE transactions on antennas and propagation, 2020-07, Vol.68 (7), p.5592-5601</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-2c8a028e754a4f787d753e4981306fdf65c6c10f84d9bb6932ea00ad763554e03</citedby><cites>FETCH-LOGICAL-c291t-2c8a028e754a4f787d753e4981306fdf65c6c10f84d9bb6932ea00ad763554e03</cites><orcidid>0000-0002-8285-8902 ; 0000-0001-5026-0888 ; 0000-0001-6456-7872</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9046250$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9046250$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Luini, Lorenzo</creatorcontrib><creatorcontrib>Panzeri, Alberto</creatorcontrib><creatorcontrib>Riva, Carlo G.</creatorcontrib><title>Enhancement of the Synthetic Storm Technique for the Prediction of Rain Attenuation Time Series at EHF</title><title>IEEE transactions on antennas and propagation</title><addtitle>TAP</addtitle><description>A physically based rain attenuation prediction model for Earth-space links, namely the enhanced synthetic storm technique (E-SST), is presented. Different from the original SST, the E-SST receives as input detailed information on the rain height and on the storm velocity, and it discriminates between stratiform and convective rain events having a different impact on the link. The rain attenuation prediction accuracy of E-SST, both as applied directly and as embedded into a more accurate frequency scaling technique, is evaluated against a full year of propagation data collected by the NASA equipment installed at Politecnico di Milano in the frame of the Alphasat Aldo Paraboni propagation experiment. To this aim, a novel methodology to isolate the contribution of rain attenuation from the received beacon power is devised and presented. Results indicate that E-SST represents an accurate and reliable tool for the prediction of rain attenuation at EHF, both on a statistical basis (direct application) and on an event basis (frequency scaling).</description><subject>Attenuation</subject><subject>Clouds</subject><subject>Extremely high frequencies</subject><subject>Frequency scaling</subject><subject>Military communications</subject><subject>Prediction models</subject><subject>Predictive models</subject><subject>Propagation</subject><subject>Rain</subject><subject>rain attenuation</subject><subject>Reliability</subject><subject>satellite communications (SatCom)</subject><subject>Storms</subject><subject>synthetic storm technique (SST)</subject><subject>Time series analysis</subject><issn>0018-926X</issn><issn>1558-2221</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFLAzEQhYMoWKt3wUvA89bJbLKbPZZSrSAoWsHbkmYnNGKzNZse_PemrXgaZnjvzczH2LWAiRDQ3C2nLxMEhAk2WlQaT9hIKKULRBSnbAQgdNFg9XHOLobhM7dSSzlibh7WJljaUEi8dzytib_9hFySt_wt9XHDl2TXwX_viLs-HhQvkTpvk-_D3vNqfODTlCjszGG29JucQtHTwE3i88X9JTtz5mugq786Zu_38-VsUTw9PzzOpk-FxUakAq02gJpqJY10ta67WpUk80clVK5zlbKVFeC07JrVqmpKJANguroqlZIE5ZjdHnO3sc8HD6n97Hcx5JUtSkSQWpWYVXBU2dgPQyTXbqPfmPjTCmj3NNtMs93TbP9oZsvN0eKJ6F_egKxQQfkLUF1vkg</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Luini, Lorenzo</creator><creator>Panzeri, Alberto</creator><creator>Riva, Carlo G.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-8285-8902</orcidid><orcidid>https://orcid.org/0000-0001-5026-0888</orcidid><orcidid>https://orcid.org/0000-0001-6456-7872</orcidid></search><sort><creationdate>20200701</creationdate><title>Enhancement of the Synthetic Storm Technique for the Prediction of Rain Attenuation Time Series at EHF</title><author>Luini, Lorenzo ; Panzeri, Alberto ; Riva, Carlo G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-2c8a028e754a4f787d753e4981306fdf65c6c10f84d9bb6932ea00ad763554e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Attenuation</topic><topic>Clouds</topic><topic>Extremely high frequencies</topic><topic>Frequency scaling</topic><topic>Military communications</topic><topic>Prediction models</topic><topic>Predictive models</topic><topic>Propagation</topic><topic>Rain</topic><topic>rain attenuation</topic><topic>Reliability</topic><topic>satellite communications (SatCom)</topic><topic>Storms</topic><topic>synthetic storm technique (SST)</topic><topic>Time series analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luini, Lorenzo</creatorcontrib><creatorcontrib>Panzeri, Alberto</creatorcontrib><creatorcontrib>Riva, Carlo G.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on antennas and propagation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luini, Lorenzo</au><au>Panzeri, Alberto</au><au>Riva, Carlo G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancement of the Synthetic Storm Technique for the Prediction of Rain Attenuation Time Series at EHF</atitle><jtitle>IEEE transactions on antennas and propagation</jtitle><stitle>TAP</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>68</volume><issue>7</issue><spage>5592</spage><epage>5601</epage><pages>5592-5601</pages><issn>0018-926X</issn><eissn>1558-2221</eissn><coden>IETPAK</coden><abstract>A physically based rain attenuation prediction model for Earth-space links, namely the enhanced synthetic storm technique (E-SST), is presented. Different from the original SST, the E-SST receives as input detailed information on the rain height and on the storm velocity, and it discriminates between stratiform and convective rain events having a different impact on the link. The rain attenuation prediction accuracy of E-SST, both as applied directly and as embedded into a more accurate frequency scaling technique, is evaluated against a full year of propagation data collected by the NASA equipment installed at Politecnico di Milano in the frame of the Alphasat Aldo Paraboni propagation experiment. To this aim, a novel methodology to isolate the contribution of rain attenuation from the received beacon power is devised and presented. Results indicate that E-SST represents an accurate and reliable tool for the prediction of rain attenuation at EHF, both on a statistical basis (direct application) and on an event basis (frequency scaling).</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAP.2020.2981682</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8285-8902</orcidid><orcidid>https://orcid.org/0000-0001-5026-0888</orcidid><orcidid>https://orcid.org/0000-0001-6456-7872</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0018-926X |
ispartof | IEEE transactions on antennas and propagation, 2020-07, Vol.68 (7), p.5592-5601 |
issn | 0018-926X 1558-2221 |
language | eng |
recordid | cdi_proquest_journals_2422048532 |
source | IEEE Electronic Library (IEL) |
subjects | Attenuation Clouds Extremely high frequencies Frequency scaling Military communications Prediction models Predictive models Propagation Rain rain attenuation Reliability satellite communications (SatCom) Storms synthetic storm technique (SST) Time series analysis |
title | Enhancement of the Synthetic Storm Technique for the Prediction of Rain Attenuation Time Series at EHF |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T01%3A43%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Enhancement%20of%20the%20Synthetic%20Storm%20Technique%20for%20the%20Prediction%20of%20Rain%20Attenuation%20Time%20Series%20at%20EHF&rft.jtitle=IEEE%20transactions%20on%20antennas%20and%20propagation&rft.au=Luini,%20Lorenzo&rft.date=2020-07-01&rft.volume=68&rft.issue=7&rft.spage=5592&rft.epage=5601&rft.pages=5592-5601&rft.issn=0018-926X&rft.eissn=1558-2221&rft.coden=IETPAK&rft_id=info:doi/10.1109/TAP.2020.2981682&rft_dat=%3Cproquest_RIE%3E2422048532%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2422048532&rft_id=info:pmid/&rft_ieee_id=9046250&rfr_iscdi=true |