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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on antennas and propagation 2020-07, Vol.68 (7), p.5592-5601
Hauptverfasser: Luini, Lorenzo, Panzeri, Alberto, Riva, Carlo G.
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 &amp; 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