Optimising models for prediction of tropospheric scintillation on satellite links

A phenomenon that also causes impairment in the received signal strength of the RF signal in satellite links operating at frequencies above 10 GHz, especially in those systems that operate at higher frequencies with small fade margins, is the tropospheric scintillation that occurs in the lower layer...

Full description

Autores:
Pérez-García, N. A.
Rivas, F. R.
Rujano, L. M.
Pinto, A. D.
Torres, J. M.
Aguilar-Castro, J.
Ramírez, E. J.
Vélez-Zapata, J.
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6250
Acceso en línea:
https://hdl.handle.net/11323/6250
https://repositorio.cuc.edu.co/
Palabra clave:
Microwave propagation
Microwave links
Scintillation
Statistical analysis
Radiowave propagation
Millimetre wave propagation
Optimisation
Least mean squares methods
Satellite links
Search problems
Tropospheric electromagnetic wave propagation
Probability
Mean square error methods
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_eec4f3fc75e0a7fd1efe9adc1e8c2728
oai_identifier_str oai:repositorio.cuc.edu.co:11323/6250
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Optimising models for prediction of tropospheric scintillation on satellite links
title Optimising models for prediction of tropospheric scintillation on satellite links
spellingShingle Optimising models for prediction of tropospheric scintillation on satellite links
Microwave propagation
Microwave links
Scintillation
Statistical analysis
Radiowave propagation
Millimetre wave propagation
Optimisation
Least mean squares methods
Satellite links
Search problems
Tropospheric electromagnetic wave propagation
Probability
Mean square error methods
title_short Optimising models for prediction of tropospheric scintillation on satellite links
title_full Optimising models for prediction of tropospheric scintillation on satellite links
title_fullStr Optimising models for prediction of tropospheric scintillation on satellite links
title_full_unstemmed Optimising models for prediction of tropospheric scintillation on satellite links
title_sort Optimising models for prediction of tropospheric scintillation on satellite links
dc.creator.fl_str_mv Pérez-García, N. A.
Rivas, F. R.
Rujano, L. M.
Pinto, A. D.
Torres, J. M.
Aguilar-Castro, J.
Ramírez, E. J.
Vélez-Zapata, J.
dc.contributor.author.spa.fl_str_mv Pérez-García, N. A.
Rivas, F. R.
Rujano, L. M.
Pinto, A. D.
Torres, J. M.
Aguilar-Castro, J.
Ramírez, E. J.
Vélez-Zapata, J.
dc.subject.spa.fl_str_mv Microwave propagation
Microwave links
Scintillation
Statistical analysis
Radiowave propagation
Millimetre wave propagation
Optimisation
Least mean squares methods
Satellite links
Search problems
Tropospheric electromagnetic wave propagation
Probability
Mean square error methods
topic Microwave propagation
Microwave links
Scintillation
Statistical analysis
Radiowave propagation
Millimetre wave propagation
Optimisation
Least mean squares methods
Satellite links
Search problems
Tropospheric electromagnetic wave propagation
Probability
Mean square error methods
description A phenomenon that also causes impairment in the received signal strength of the RF signal in satellite links operating at frequencies above 10 GHz, especially in those systems that operate at higher frequencies with small fade margins, is the tropospheric scintillation that occurs in the lower layer of the troposphere. In order to estimate the intensity, i.e. the variance between the scintillation amplitude fluctuations, there are several models in the literature, whose accuracy depends on the locality in which the models are implemented. In this Letter, new models are developed for the prediction of tropospheric scintillation that adjusts to localities in Spain, specifically Madrid city, based on measurements of the aforementioned phenomenon reported from Spain and the bios-inspired technique Cuckoo Search (CS). The results obtained, evaluated in terms of the root mean square error, were totally satisfactory, being the most outstanding cases the improved versions of the Ortgies-T, Statistical Temperature and Humidity 2 and Statistical Temperature and Refractivity 2 models.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-05-06T02:35:22Z
dc.date.available.none.fl_str_mv 2020-05-06T02:35:22Z
dc.date.issued.none.fl_str_mv 2020-02-18
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ARTOTR
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
format http://purl.org/coar/resource_type/c_816b
status_str acceptedVersion
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/6250
dc.identifier.doi.spa.fl_str_mv DOI:10.1049/el.2020.0216
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/6250
https://repositorio.cuc.edu.co/
identifier_str_mv DOI:10.1049/el.2020.0216
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv CC0 1.0 Universal
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/publicdomain/zero/1.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv Universidad de la Costa
institution Corporación Universidad de la Costa
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spelling Pérez-García, N. A.Rivas, F. R.Rujano, L. M.Pinto, A. D.Torres, J. M.Aguilar-Castro, J.Ramírez, E. J.Vélez-Zapata, J.2020-05-06T02:35:22Z2020-05-06T02:35:22Z2020-02-18https://hdl.handle.net/11323/6250DOI:10.1049/el.2020.0216Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/A phenomenon that also causes impairment in the received signal strength of the RF signal in satellite links operating at frequencies above 10 GHz, especially in those systems that operate at higher frequencies with small fade margins, is the tropospheric scintillation that occurs in the lower layer of the troposphere. In order to estimate the intensity, i.e. the variance between the scintillation amplitude fluctuations, there are several models in the literature, whose accuracy depends on the locality in which the models are implemented. In this Letter, new models are developed for the prediction of tropospheric scintillation that adjusts to localities in Spain, specifically Madrid city, based on measurements of the aforementioned phenomenon reported from Spain and the bios-inspired technique Cuckoo Search (CS). The results obtained, evaluated in terms of the root mean square error, were totally satisfactory, being the most outstanding cases the improved versions of the Ortgies-T, Statistical Temperature and Humidity 2 and Statistical Temperature and Refractivity 2 models.Pérez-García, N. A.Rivas, F. R.Rujano, L. M.Pinto, A. D.Torres, J. M.Aguilar-Castro, J.Ramírez, E. J.Vélez-Zapata, J.engUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Microwave propagationMicrowave linksScintillationStatistical analysisRadiowave propagationMillimetre wave propagationOptimisationLeast mean squares methodsSatellite linksSearch problemsTropospheric electromagnetic wave propagationProbabilityMean square error methodsOptimising models for prediction of tropospheric scintillation on satellite linksPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALOptimising models for prediction of tropospheric scintillation on satellite links.pdfOptimising models for prediction of tropospheric scintillation on satellite links.pdfapplication/pdf107281https://repositorio.cuc.edu.co/bitstreams/131fbe05-2c94-4567-9b58-b0504a4828b9/download687193eb9f3fc5937c1ebe6ed0238c20MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/8efae636-ccd7-44fe-bfc9-a03176e31601/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/afd80898-afcd-4302-98ea-6743b3d45f40/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILOptimising models for prediction of tropospheric scintillation on satellite links.pdf.jpgOptimising models for prediction of tropospheric scintillation on satellite links.pdf.jpgimage/jpeg58807https://repositorio.cuc.edu.co/bitstreams/6a77b1e3-385e-4ea1-9d97-ce4a4bb38ae8/downloadf6ab4329a169976154076d0f5786f301MD54TEXTOptimising models for prediction of tropospheric scintillation on satellite links.pdf.txtOptimising models for prediction of tropospheric scintillation on satellite links.pdf.txttext/plain1653https://repositorio.cuc.edu.co/bitstreams/7b7e643a-b694-4b61-aa21-1da7fda39e70/downloadd79781ed7860a1399c5122477d04b9baMD5511323/6250oai:repositorio.cuc.edu.co:11323/62502024-09-17 14:12:29.347http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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