2006
DOI: 10.1109/tap.2006.872669
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Forward Radar Propagation Over a Rough Sea Surface: A Numerical Assessment of the Miller-Brown Approximation Using a Horizontally Polarized 3-GHz Line Source

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Cited by 47 publications
(41 citation statements)
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“…Indeed, it takes the surface roughness into account by multiplying the Fresnel reflection coefficient of a plane surface by the term exp(−2R 2 a ) (for Gaussian statistics, with R a the Rayleigh parameter). Nevertheless, as shown in the literature [9], this simple model enables fast results which are consistent with rigorous methods for R a 1.25 (R a = k 1 σ h cos θ i , with σ h the surface RMS height, k 1 the incident wave number, and θ i the incidence angle). The model was then improved in [8] by taking the shadowing effect into account.…”
Section: Introductionsupporting
confidence: 74%
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“…Indeed, it takes the surface roughness into account by multiplying the Fresnel reflection coefficient of a plane surface by the term exp(−2R 2 a ) (for Gaussian statistics, with R a the Rayleigh parameter). Nevertheless, as shown in the literature [9], this simple model enables fast results which are consistent with rigorous methods for R a 1.25 (R a = k 1 σ h cos θ i , with σ h the surface RMS height, k 1 the incident wave number, and θ i the incidence angle). The model was then improved in [8] by taking the shadowing effect into account.…”
Section: Introductionsupporting
confidence: 74%
“…In conclusion, the forward radar propagation over rough surfaces using the Ament model [9] has been extended to the case of rough layers, and applied to a sea covered in oil, by taking the shadowing effect into account. A comparison between a clean sea surface and a sea covered in oil has been detailed.…”
Section: Resultsmentioning
confidence: 99%
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