Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/457786
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dc.contributor.advisorMandeep Singh Jit Singh, Dr.-
dc.contributor.authorCheng Chen Yee (P57648)-
dc.date.accessioned2023-09-12T09:13:23Z-
dc.date.available2023-09-12T09:13:23Z-
dc.date.issued2012-05-14-
dc.identifier.otherukmvital:122273-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/457786-
dc.descriptionIn the design of microwave traffic links, such as those for direct-to-home very small aperture terminals (DTH/VSAT) systems, detailed propagation information must be considered that provides insights into performance, availability, and quality of service and customer perceptions. There are plenty phenomena encounter by the satellite service provider and one of that is tropospheric scintillation. Tropospheric scintillation can be define as rapid fluctuation of the amplitude or phase of a radio wave caused by changes of refractive index in the altitude (troposphere level). Due to the hot and humid climate in Malaysia, the tropospheric scintillation models developed from other region are not suitable to apply on Malaysia. Hence there is a need to investigate tropospheric scintillation pattern in equatorial region and develop a model to predict the scintillation pattern. Tropospheric scintillation statistics are obtained in Parit Buntar, Malaysia using the Superbird-C satellite beacon at 12.255 GHz for year 20072010. The measurement is conducted using satellite beacon signal measurement system at Ku-band frequency with elevation angle 40.10. “KisyoDisp.vi” program, Microsoft Excel and MATLAB are used to investigate and analyze the measured scintillation data. Investigation started with comparing the short term scintillation and long term scintillation probability density function with log-normal and Gamma distribution. The findings show that for short-term scintillation, probability density function (PDF) will tend to follow Gamma distribution and for long-term scintillation, the PDF will follow Normal distribution. Later, cumulative distributions of scintillation and monthly scintillation intensity are derived from the measured data. The result are presented and compared with nine existing prediction models. From the analysis, we found that ITU-R model gives desirable results with 5% and 16% error rate for fade and enhancement scintillation. As ITU-R model is not providing prediction for enhancement scintillation and a more accurate prediction model is needed in order to predict tropospheric scintillation at higher frequency band, an enhanced Karasawa model is introduced. The enhanced model is compared with scintillation data from Okinawa, Japan and Abuja, Nigeria to verify the performance. The validation is focused on comparing the scintillation intensity on each month throughout the year. The performance of the model is increased but still more data is needed to make an even better prediction of tropospheric scintillation. The results presented in this thesis can be used to characterize tropospheric scintillation for tropical climate country like Malaysia.,Master of Science,Certification of Master's / Doctoral Thesis" is not available"-
dc.language.isoeng-
dc.publisherUKM, Bangi-
dc.relationFaculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina-
dc.rightsUKM-
dc.subjectTropospheric scatter communication systems-
dc.subjectTropospheric radio wave propagation-
dc.subjectUniversiti Kebangsaan Malaysia -- Dissertations-
dc.subjectDissertations, Academic -- Malaysia-
dc.titleDevelopment of tropospheric scintillation model for earth to space communication link on equatorial climate-
dc.typetheses-
dc.format.pages90-
dc.identifier.callnoTK6570.T76C484 2012 3 tesis-
dc.identifier.barcode005595(2021)(PL2)-
Appears in Collections:Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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