Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE
Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE
Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE
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2.5 <strong>Radar</strong> <strong>Imaging</strong> Methods Overview 29<br />
as<br />
where<br />
��<br />
ψ(x, z = ∆z1, t) =<br />
φ0(kx, f)e 2πi(kxx−kz1∆z1−ft) dkxdf (2.5.44)<br />
kz1 =<br />
�<br />
f 2<br />
v 2 1<br />
− k 2 x. (2.5.45)<br />
(2.5.44) is an expression for downward continuation or extrapolation of the wavefield<br />
to the depth ∆z1. The wavefield extrapolation expression in (2.5.44) is more<br />
simply written in the Fourier domain to suppress the integration that performs<br />
the inverse Fourier transform:<br />
��<br />
φ(kx, z = ∆z1, f) = φ0(kx, f)e 2πikz1∆z1dkxdf. (2.5.46)<br />
Now consider a further extrapolation to estimate the wavefield at the bottom of<br />
the layer two (z = ∆z1 + ∆z2). This can be written as:<br />
φ(kx, z = ∆z1 + ∆z2, f) = φ(kx, z = ∆z1, f)T (kx, f)e 2πikz2∆z2 (2.5.47)<br />
where T (kx, f) is a correction factor for the transmission loss endured by the wave<br />
as it crossed from layer two into layer one.<br />
If this method want to be applied in praxis, phase shift algorithm [96] would<br />
have to be studied into more depth in order to prevent many of unwanted effects<br />
and incorrect implementations.<br />
The Fourier method discussed in this section is based upon the solution of<br />
the scalar wave equation using Fourier transforms. Though Kirchhoff methods<br />
seem superficially quite different from Fourier methods, the uniqueness theorems<br />
from partial differential equation theory guarantee that they are equivalent [96].<br />
However, this equivalence only applies to the problem for which both approaches<br />
are exact solutions to the wave equation and that is the case of a constant velocity<br />
medium, with regular wavefield sampling. In all other cases, both methods<br />
are implemented with differing approximations and can give very distinct results.<br />
Furthermore, even in the exact case, the methods have different computational<br />
artifacts [96].<br />
2.5.7 Improvements in f-k Migration<br />
f-k migration obtained title of the most often used migration method in praxis<br />
due to its fast computation and very precise image results. A lot of improvements<br />
and modifications have been done in f-k migration. They are mostly described in<br />
airborne, or GPR scenarios. The most important of them will be shortly described<br />
in this section.