2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
IEEE Transactions on Antennas and Propagation
Volume 48 Number 3, March 2000
Page 437.
Abstract:
The Wagner [1] and Smith [2], [3] classical monostatic one-dimensional
(1-D) shadowing functions assume that the joint probability density of heights
and slopes is uncorrelated, thus inducing an overestimation of the shadowing
function. The goal of this article is to quantify this assumption. More recently,Ricciardi and Sato [4], [5] proved that the shadowing
function is given rigorously by Rice's infinite series of integrals. We observe
that the approach proposed by Wagner retains only the first term of this series,whereas the Smith formulation uses the Wagner model by introducing a normalization
function. In this article, we first calculate the shadowing function based
on the Ricciardi and Sato work for an uncorrelated process. We will see that
the uncorrelated results do not have any physical sense. Next, the Wagner
and Smith formulations will be modified in order to introduce the correlation.
Correlated and uncorrelated results are compared with the reference solution,which is determined by generating a surface [8] for a Gaussian autocorrelation function. So, we will show that
the correlation improves the results for values µ<= 2
, where µ represents the
slope of incident ray and
the slopes
variance of the surface. Finally, our results will be compared to those given
in [9], determined
from the first three terms of Rice's series, but the shadowing function used
is not averaged over the slopes.
References