Effect of dust particle size distribution and intensity variation on microwave signal attenuation prediction /

Dust storms are meteorological phenomena occur for a percentage of time in arid and semi arid areas especially at African Sahara and Middle East. Measurements at existing microwave links have showed dust storms can potentially result in serious attenuation in signal level especially at Ku band and h...

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主要作者: Ahmed, Elfatih AbdelRahman
格式: Thesis
语言:English
出版: Kuala Lumpur: Kulliyyah of Engineering, International Islamic University Malaysia 2011
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在线阅读:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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008 120201t2011 ad g m 000 0 eng d
040 |a UIAM  |b eng 
041 |a eng 
050 0 0 |a QC958 
100 1 |a Ahmed, Elfatih AbdelRahman  
245 1 |a Effect of dust particle size distribution and intensity variation on microwave signal attenuation prediction /  |c by Elfatih Abdelrahman Ahmed 
260 |a Kuala Lumpur:   |b Kulliyyah of Engineering, International Islamic University Malaysia   |c 2011 
300 |a xv, 78 leaves :  |b ill. charts;  |c 30cm. 
500 |a Abstract in English and Arabic. 
500 |a "A dissertation submitted in fulfilment of the requirement for the degree of Master of Science in Commmunication Engineering."--On t.p. 
502 |a Thesis (MSCE)--International Islamic University Malaysia, 2011. 
504 |a Includes bibliographical references (leaves 71-78). 
520 |a Dust storms are meteorological phenomena occur for a percentage of time in arid and semi arid areas especially at African Sahara and Middle East. Measurements at existing microwave links have showed dust storms can potentially result in serious attenuation in signal level especially at Ku band and higher frequencies with direct impact on telecommunications system performance. However, only a limited amount of research has been carried out and the available data was very scarce. Few prediction models have been developed to estimate microwave signal attenuation during the dust storm. Theses prediction models did not incorporate the variation of the dust particle size distribution. Therefore, none of predicted results fitted with the measured results. In this project two dust storm attenuation prediction models have been investigated based on the obtained particle size statistical distributions such as exponential, lognormal, normal and discrete. The estimated attenuation after implementing the effective particle size (re =38.2 μm) at frequency 40 GHz and visibility values 0.625, 1.25, 1.42, 3.75 and 5.56 km were 0.17, 0.09, 0.07, 0.03 and 0.02 dB/km which were close to the measured attenuation 0.14, 0.1,0.07, 0.05 and 0.036 dB/km in Saudi Arabia. Measurements have showed that the dust storm intensity varies horizontally (terrestrial links) and vertically (earth satellite links). All dust storm attenuation prediction models have proposed the attenuation due to dust storm in dB/km and the total attenuation as multiplied by link length assuming that the dust storm is uniformly distributed throughout the microwave link. However, to predict the total attenuation due to dust storm that a microwave link might suffer, an adjustment factor is needed to account for the variation of dust storm intensity along the propagation path. Adjustment factors which reflect the variation of dust storm intensity have been derived based on the analysis of horizontal and vertical dust storm behavior. The estimated total attenuation considering the horizontal dust storm adjustment factor at frequencies 2, 7.5, 10.5, 13 and 40 GHz and visibility levels 0.15, 0.15, 0.05, 0.05 and 0.625 km were 0.6, 0.64, 6.4, 9.8 and 2.2 dB respectively, which were very close to the measured attenuation 0.5, 0.5, 6.4, 10.05 and 2 dB in Sudan and Saudi Arabia. 
596 |a 1 
650 0 0 |a Dust storms 
650 0 0 |a Meteorology 
650 0 0 |a Microwaves  |x Attenuation 
650 0 0 |a Microwave communication systems 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Electrical and Computer Engineering  |z IIUM 
710 2 |a International Islamic University Malaysia.  |b Department of Electrical and Computer Engineering 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/4713  |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. 
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