Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia

This study has been based on understanding local propagation signal data distribution characteristics and identifying and predicting the overall impact of significant attenuating factors regarding the propagation path such as impaired propagation for a signal being transmitted. Predicting propagatio...

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Autores:
Mandeep, JS
Zali, RM
Tipo de recurso:
Article of journal
Fecha de publicación:
2011
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
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oai:repositorio.unal.edu.co:unal/39098
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/39098
http://bdigital.unal.edu.co/29195/
http://bdigital.unal.edu.co/29195/2/
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mandeep, JS70d98b54-3910-4f9b-af6c-413b1d28fe1c300Zali, RM5e11ad0b-5ac2-4d5d-a40d-1d413bb66fc33002019-06-28T03:22:28Z2019-06-28T03:22:28Z2011https://repositorio.unal.edu.co/handle/unal/39098http://bdigital.unal.edu.co/29195/http://bdigital.unal.edu.co/29195/2/This study has been based on understanding local propagation signal data distribution characteristics and identifying and predicting the overall impact of significant attenuating factors regarding the propagation path such as impaired propagation for a signal being transmitted. Predicting propagation impairment is important for accurate link budgeting, thereby leading to better communication network system designation. This study has thus used sample data for one year concerning beacon satellite operation in Malaysia from April 2008 to April 2009. Data concerning 12GHz frequency (Ku-band) and 40° elevation angle was collected and analysed, obtaining average signal amplitude value, ÷ and also standard deviation ó which is normally measured in dB to obtain long-term scintillation intensity distribution. This analysis showed that scintillation intensity distribution followed Gaussian distribution for long-term data distribution. A prediction model was then selected based on the above; Karasawa,ITU-R, Van de Kamp and Otung models were compared to obtain the best prediction model performance for selected data regarding specific meteorological conditions. This study showed that the Karasawa model had the best performance for predicting scintillation intensity for the selected da ta.application/pdfspaUNIVERSIDAD NACIONAL DE COLOMBIAhttp://revistas.unal.edu.co/index.php/esrj/article/view/27200Universidad Nacional de Colombia Revistas electrónicas UN Earth Sciences Research JournalEarth Sciences Research JournalEarth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 2339-3459 1794-6190Mandeep, JS and Zali, RM (2011) Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia. Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 2339-3459 1794-6190 .Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysiaArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL27200-95431-1-PB.pdfapplication/pdf2488884https://repositorio.unal.edu.co/bitstream/unal/39098/1/27200-95431-1-PB.pdfc06b27204d26da17388c3cf5bf18c082MD51THUMBNAIL27200-95431-1-PB.pdf.jpg27200-95431-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg6547https://repositorio.unal.edu.co/bitstream/unal/39098/2/27200-95431-1-PB.pdf.jpgd79a003c239b34e2d2af68836f5487aeMD52unal/39098oai:repositorio.unal.edu.co:unal/390982024-01-18 23:06:12.765Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
title Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
spellingShingle Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
title_short Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
title_full Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
title_fullStr Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
title_full_unstemmed Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
title_sort Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia
dc.creator.fl_str_mv Mandeep, JS
Zali, RM
dc.contributor.author.spa.fl_str_mv Mandeep, JS
Zali, RM
description This study has been based on understanding local propagation signal data distribution characteristics and identifying and predicting the overall impact of significant attenuating factors regarding the propagation path such as impaired propagation for a signal being transmitted. Predicting propagation impairment is important for accurate link budgeting, thereby leading to better communication network system designation. This study has thus used sample data for one year concerning beacon satellite operation in Malaysia from April 2008 to April 2009. Data concerning 12GHz frequency (Ku-band) and 40° elevation angle was collected and analysed, obtaining average signal amplitude value, ÷ and also standard deviation ó which is normally measured in dB to obtain long-term scintillation intensity distribution. This analysis showed that scintillation intensity distribution followed Gaussian distribution for long-term data distribution. A prediction model was then selected based on the above; Karasawa,ITU-R, Van de Kamp and Otung models were compared to obtain the best prediction model performance for selected data regarding specific meteorological conditions. This study showed that the Karasawa model had the best performance for predicting scintillation intensity for the selected da ta.
publishDate 2011
dc.date.issued.spa.fl_str_mv 2011
dc.date.accessioned.spa.fl_str_mv 2019-06-28T03:22:28Z
dc.date.available.spa.fl_str_mv 2019-06-28T03:22:28Z
dc.type.spa.fl_str_mv Artículo de revista
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url https://repositorio.unal.edu.co/handle/unal/39098
http://bdigital.unal.edu.co/29195/
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dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Earth Sciences Research Journal
Earth Sciences Research Journal
dc.relation.ispartofseries.none.fl_str_mv Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 2339-3459 1794-6190
dc.relation.references.spa.fl_str_mv Mandeep, JS and Zali, RM (2011) Analysis and comparison model for measuring tropospheric scintillation intensity for ku-band frequency in malaysia. Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 Earth Sciences Research Journal; Vol. 15, núm. 1 (2011); 13-17 2339-3459 1794-6190 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
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dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
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