Tropospheric scintillation estimation using 10 years meteorological data

Muhammad Tahir; Yan Piao; Muhammad Aslam; Azizur Rahim

doi:10.1109/CC.2015.7084362

Tropospheric scintillation estimation using 10 years meteorological data

Muhammad Tahir
, Yan Piao
, Muhammad Aslam
, Azizur Rahim

Adran Cyfrifiadureg

Changchun University of Science and Technology
Dalian University of Technology

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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This paper presents estimation of tropospheric scintillation based on ITU-R model from previous 10 years meteorological data. Scintillation A _s(p) is critical in designing of microwave links for achieving optimal performance. There are many phenomenons that cause degradation to signal during transmission through the earth's atmosphere one of them is scintillation. Scintillation estimation is based on measurements of surface temperature T and relative humidity RH. Input parameter for ITU-R scintillation estimation model is the monthly average of wet part of refractivity N _wet. MATLAB software tool is employed to show the results for tropospheric scintillation in various seasons for time percentage p and frequencies ranging from 4GHz to 20GHz.

Iaith wreiddiol	Saesneg
Rhif yr erthygl	7084362
Tudalennau (o-i)	43-49
Nifer y tudalennau	7
Cyfnodolyn	China Communications
Cyfrol	12
Rhif cyhoeddi	3
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/CC.2015.7084362
Statws	Cyhoeddwyd - 01 Maw 2015

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10.1109/CC.2015.7084362

http://ieeexplore.ieee.org/document/7084362/

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@article{c34bfad1e4f14a958099fe6a7296dca4,

title = "Tropospheric scintillation estimation using 10 years meteorological data",

abstract = "This paper presents estimation of tropospheric scintillation based on ITU-R model from previous 10 years meteorological data. Scintillation A s(p) is critical in designing of microwave links for achieving optimal performance. There are many phenomenons that cause degradation to signal during transmission through the earth's atmosphere one of them is scintillation. Scintillation estimation is based on measurements of surface temperature T and relative humidity RH. Input parameter for ITU-R scintillation estimation model is the monthly average of wet part of refractivity N wet. MATLAB software tool is employed to show the results for tropospheric scintillation in various seasons for time percentage p and frequencies ranging from 4GHz to 20GHz.",

keywords = "ITU-R, fading, meteorology, scintillation, troposphere",

author = "Muhammad Tahir and Yan Piao and Muhammad Aslam and Azizur Rahim",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2015",

month = mar,

day = "1",

doi = "10.1109/CC.2015.7084362",

language = "English",

volume = "12",

pages = "43--49",

journal = "China Communications",

publisher = "Editorial Board of Journal on Communications",

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TY - JOUR

T1 - Tropospheric scintillation estimation using 10 years meteorological data

AU - Tahir, Muhammad

AU - Piao, Yan

AU - Aslam, Muhammad

AU - Rahim, Azizur

PY - 2015/3/1

Y1 - 2015/3/1

N2 - This paper presents estimation of tropospheric scintillation based on ITU-R model from previous 10 years meteorological data. Scintillation A s(p) is critical in designing of microwave links for achieving optimal performance. There are many phenomenons that cause degradation to signal during transmission through the earth's atmosphere one of them is scintillation. Scintillation estimation is based on measurements of surface temperature T and relative humidity RH. Input parameter for ITU-R scintillation estimation model is the monthly average of wet part of refractivity N wet. MATLAB software tool is employed to show the results for tropospheric scintillation in various seasons for time percentage p and frequencies ranging from 4GHz to 20GHz.

AB - This paper presents estimation of tropospheric scintillation based on ITU-R model from previous 10 years meteorological data. Scintillation A s(p) is critical in designing of microwave links for achieving optimal performance. There are many phenomenons that cause degradation to signal during transmission through the earth's atmosphere one of them is scintillation. Scintillation estimation is based on measurements of surface temperature T and relative humidity RH. Input parameter for ITU-R scintillation estimation model is the monthly average of wet part of refractivity N wet. MATLAB software tool is employed to show the results for tropospheric scintillation in various seasons for time percentage p and frequencies ranging from 4GHz to 20GHz.

KW - ITU-R

KW - fading

KW - meteorology

KW - scintillation

KW - troposphere

UR - https://www.scopus.com/pages/publications/84928103438

U2 - 10.1109/CC.2015.7084362

DO - 10.1109/CC.2015.7084362

M3 - Article

VL - 12

SP - 43

EP - 49

JO - China Communications

JF - China Communications

IS - 3

M1 - 7084362

ER -

Tropospheric scintillation estimation using 10 years meteorological data

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