Prediction of signal attenuation due to duststorms using mie scattering

The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement

PREDICTION OF SIGNAL ATTENUATION DUE TO DUSTSTORMS USING MIE SCATTERING

The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement

Mathematical model For the prediction of microwave signal attenuation due to duststorm

The microwave signal attenuation caused by dust is one of the major problems in utilizing microwave bands for terrestrial and space communication especially at desert and semi desert area. This paper presents a mathematical model developed to characterize the microwave signal attenuation due to dust. This model enables a convenient calculation of the microwave signal path attenuation which relates attenuation to visibility, frequency, particle size and complex permittivity. The predicted values from the mathematical model, which are compared with the measured values observed by the author in Sudan show relatively optimistic agreement

Fade margin analysis due to duststorm based on visibility data measured in a desert

Problem statement: The fade margin analysis of microwave propagation in areas affected by duststorm had been presented in this study. Approach: Based on long term duststorm data recorded in Riyadh-Saudi Arabia, the fade margin due to duststorm effects estimated. Results: The fade margin due to duststorm then derived under various water contents during the storm. Conclusion/Recommendations: It was particularly shown that duststorm have comparable effects on link reliability for typical storms

A proposed vertical path adjustment factor for dust storm attenuation prediction

In this paper an adjustment factor which reflects the vertical variation of dust storm (earth satellite links) has been derived based on the analysis of the vertical dust storm behavior. The paper has been divided to four parts. First an introduction to the dust storm phenomena and its effect on microwave signal attenuation. Secondly, observations of the behavior of the vertical dust storm intensity variation. Thirdly, the vertical path adjustment factor has been estimated. Lastly, a conclusion summarized the results and recommended further work. It has been found that the predicted attenuation without the vertical path adjustment factor is much higher than with the vertical path adjustment factor. Therefore, the vertical path adjustment factor will provide optimum utilization for the transmission resources