Abstract
The prime aspect of this paper is to report the atmospheric impairment effects in wireless communication signalfor different frequencies. Comprehensive tests have been carried out to justify and confront theattenuation impacts of rain, cloud and water vapor oxygen for various wave length channels. The result of the atmospheric impairments is obtained by the parameters which are resembled to the real world measurements. Moreover, the performance is analyzed by the use of different propagation modules and transmission parameters that are frequently used in satellite and radar communications. Experimental results indicate that the attenuation effect due to rain has initiated at frequencies above 10 GHz while, other atmospheric effects preceded by attenuation of the cloud and gasses have less effect. It is also observed thatduring frequency transmission, the rate of rainfall and relative humidity become directly proportional to signal quality degradation.
Highlights
Radio frequency (RF) corresponds to the spectrum of oscillation of electromagnetic radio waves ranges 3KHz to 300 GHz and to the alternating current that carries the radio signals
This paper present the effects of atmospheric impairments for different frequencies wireless communications signal
The findings of the atmospheric impairments were received on the real world actual measured parameters
Summary
Radio frequency (RF) corresponds to the spectrum of oscillation of electromagnetic radio waves ranges 3KHz to 300 GHz and to the alternating current that carries the radio signals. Slow fluctuations are generally caused by the particles absorbing and dispersing the signal energy, primarily water droplets in the satellite-earth station link. The frequency, ‘f’ and the angle of elevation ‘θ’ are the transmitted signal parameters changed for that have been changed because of the major impact on the amount of impairments in atmosphere. The ionospheric scintillation has a great effect on less than 3GHz transmitted signal. This effect decreases with increasing the frequency [7]. It is essential to develop a good prediction model for increasing the earth sky wireless communication quality to index the level of atmospheric fade and the selection of the appropriate fade mitigation technique (FMT)
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