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...
- 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
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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 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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 |
bitstream.url.fl_str_mv |
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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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 |