2012
DOI: 10.14419/ijbas.v2i1.541
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of hourly variations of radio refractivity for quiet and disturbed days during dry and rainy seasons at Minna

Abstract: In principle, the EM wave propagation characteristics during quiet or disturbed air conditions are straightforwardly determined by the state of atmospheric refractivity. Nevertheless, atmospheric refractivity varies in time and space more or less randomly. Therefore the statistics of atmospheric refractivity and related propagation effects are of main interest. This work clearly investigates the major difference between radio refractivity changes for quiet and disturbed days during dry and rainy season for Min… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 7 publications
0
5
0
Order By: Relevance
“…Transmission of a radio signal in the lower atmosphere is affected by many processes which include variations in air temperature, pressure, and humidity. These variations in weather parameters often result in refractivity changes [9] . These changes can result in abrupt changes in the propagation direction of a radio signal resulting in signal loss.…”
Section: Review Of Related Workmentioning
confidence: 99%
“…Transmission of a radio signal in the lower atmosphere is affected by many processes which include variations in air temperature, pressure, and humidity. These variations in weather parameters often result in refractivity changes [9] . These changes can result in abrupt changes in the propagation direction of a radio signal resulting in signal loss.…”
Section: Review Of Related Workmentioning
confidence: 99%
“…ITU-R refractivity equations were used to calculate the surface radio refractivity values corresponding to the data collecting places based on collected meteorological conditions, as shown in (15)(16)(17)(18)(19)(20). Path losses of the signal along various routes will be calculated using (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13). MATLAB software was used to analyse the gathered data for the transmitting base station during the dry and wet seasons.…”
Section: Modelling Of Path Loss Prediction For Dttv Communication Linkmentioning
confidence: 99%
“…εr and μ=μ0 . μr, are the permittivity and permeability in F/m and H/m respectively, and εᵣ and μᵣ are the relative permittivity and permeability of the medium [6], [11].…”
Section: The Relative Refractive Indexmentioning
confidence: 99%
“…There are various models for conversion of (τ-min) into (1-min) rainfall statistics (see e.g. [5], [9], [10], [14]), usually based on either equal rainfall rate or equal probability approach; an example of the latter (as in [9]) results in a relationship of the form R1 min = a (Rτ min) b (6) where Rτ min is rain rate value measured in τ minutes τ≥1min) and R1 min the "one-minute" rain rate value, while a and b are appropriate regression coefficients. The difficulty with such techniques is that they usually require 1-min measured data to estimate the regression coefficients, which consequently are location-specific.…”
Section: _______________________________________________mentioning
confidence: 99%