2011
DOI: 10.2528/pierm11020602
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Propagation Factor and Path Loss Simulation Results for Two Rough Surface Reflection Coefficients Applied to the Microwave Ducting Propagation Over the Sea

Abstract: Abstract-The performance assessment of maritime microwave communications and radar systems requires accounting simultaneously for the non-homogeneous propagation medium over the sea and the rough sea surface scattering. The tropospheric ducting, specific for over water propagation, is one of the most difficult to treat propagation mechanisms. The proposed work combines a recently published in the literature phase correction, responsible for the shadowing effects, to the Ament rough surface reflection coefficie… Show more

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Cited by 13 publications
(21 citation statements)
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“…Even though tentative, this study shows: a) the PL differences of scores of dB due to surface ducting will affect the link budget and increase the requirements to the WCDMA power control range; b) depending on the specific climatic characteristics, the use of annually averaged (and even seasonally averaged) values for the duct parameters, which is a common practice, may be not enough for accurate PL prediction. Searching to improve the propagation modeling and increase the agreement between predicted and measured fields, a number of authors have combined the PE (1) with different RRFs and applied it to simulate over-sea propagation in various scenarios [112][113][114][115]. As discussed in Section 2.2, some recently proposed RRFs account for the shadowing caused by the sea surface roughness on electromagnetic waves propagating under grazing incidence angles.…”
Section: Resultsmentioning
confidence: 99%
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“…Even though tentative, this study shows: a) the PL differences of scores of dB due to surface ducting will affect the link budget and increase the requirements to the WCDMA power control range; b) depending on the specific climatic characteristics, the use of annually averaged (and even seasonally averaged) values for the duct parameters, which is a common practice, may be not enough for accurate PL prediction. Searching to improve the propagation modeling and increase the agreement between predicted and measured fields, a number of authors have combined the PE (1) with different RRFs and applied it to simulate over-sea propagation in various scenarios [112][113][114][115]. As discussed in Section 2.2, some recently proposed RRFs account for the shadowing caused by the sea surface roughness on electromagnetic waves propagating under grazing incidence angles.…”
Section: Resultsmentioning
confidence: 99%
“…The physics behind this profile, based on the Monin-Obukhov similarity theory, is explained elsewhere [7,108,109]. As indicated by Paulus and Anderson [111], (20) is a good practical approximation to the average M( ) profile, and has been widely used as input to the PE propagation model applied under evaporation duct conditions [27,33,40,73,97,[111][112][113][114][115]. Equation (20), however, has been obtained assuming thermally neutral troposphere stratification and does not account for the tropospheric stability effects on the M profile [7,29,33].…”
Section: Modeling Of the Environmentmentioning
confidence: 99%
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“…The pattern propagation factor accounts for the effect of refractivity structure M and the pattern function of the transmitting antenna. We model this factor using a parabolic equation (PE) method [30]. The final form of the PE [31,32] is…”
Section: Radar Wave Propagation Modelingmentioning
confidence: 99%