18.01.2013 Views

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

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

2.5 <strong>Radar</strong> <strong>Imaging</strong> Methods Overview 24<br />

where θ is the vertical angle between the receiver location and the ray to the<br />

scatterpoint. <strong>With</strong> this, the final formula for the scattered wavefield just above<br />

the reflector is:<br />

� � �<br />

2 cos θ ∂ψ<br />

ψ(x0, t) =<br />

dsurf. (2.5.27)<br />

vr ∂t t+r/v<br />

S0<br />

The fact that (2.5.27) is a form of direct wavefield extrapolation, but not recursive<br />

is the reason why it is not yet a migration equation. A migration equation has to<br />

estimate reflectivity, not just the scattered wavefield, and for this purpose a model<br />

relating the wavefield to the reflectivity is required. The most simple model is<br />

the exploding reflector model [93] which asserts that the reflectivity is identical to<br />

the downward continued scattered wavefield at t = 0 provided that the downward<br />

continuation is done with v = v/2. Thus, a wave migration equation follows<br />

immediately from equation (2.5.27) as:<br />

� � �<br />

�<br />

2 cos θ ∂ψ<br />

ψ(x0, 0) =<br />

dsurf =<br />

vr ∂t<br />

S0<br />

r/v<br />

S0<br />

4 cos θ<br />

vr<br />

� �<br />

∂ψ<br />

dsurf. (2.5.28)<br />

∂t 2r/v<br />

Finally, (2.5.28) is the Kirchhoff migration equation. This result was derived by<br />

many authors including Schneider [128] and Scales [124]. It expresses migration<br />

by summation along hyperbolic travel paths through the input data space. The<br />

hyperbolic summation does not have to be seen at the first view, but it can be<br />

indicated by [∂tψ] 2r/v , notation means that partial derivation is to be evaluated<br />

at the time 2r/v. ∂tψ (x, t) is integrated over the z = 0 plane, only those specific<br />

traveltimes values are selected by:<br />

t = 2r<br />

�<br />

2 (x − x0)<br />

= 2 + (y − y0) 2 + (z − z0) 2<br />

(2.5.29)<br />

v<br />

which is the equation of a zero-offset diffraction hyperbola.<br />

In addition to diffraction summation, (2.5.28) requires that the data be scaled<br />

by 4cosθ/(vr) and that the time derivative be taken before summation. These additional<br />

details were not indicated by the simple geometric theory in Section 2.5.2<br />

and are major benefits of Kirchhoff theory. The same correction procedures are<br />

contained implicitly in f-k migration that will be described in Section 2.5.6. Kirchhoff<br />

migration is one of the most adaptable migration schemes available. It can be<br />

easily modified for account of such difficulties as topography, irregular recording<br />

geometry, pre-stack migration, converted wave imaging as well as through-wall<br />

imaging. Computational cost is one of the biggest disadvantages of this method.<br />

2.5.6 f-k Migration<br />

Wave equation based migration could be done also in the frequency domain. Stolt<br />

in 1978 showed that migration problem could be solved by Fourier transform [133].<br />

v

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!