;roduced in a
irises whether
: in a practi-
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further. The
simulation is
.1 is supposed
ire positioned
licity we will
! isotropic
;ical plane
to be composed
the phase
: second term
:erer with
itterer with
to start with
■ the simple
lal to zero,
[uare of 10A
; that this
h the area of
' problem ori-
;ing the number
absorbed from
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oss sections
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ation.
Fiaure .3. a) Coherent scattering of a square 10 A
x 10 A with 625 scatterers. b) Same resolution cell
but scatterers having random heights (Gaussian distr
ibution with s = 0,3).
Figure 4. Correction factor to take into account
the effect of mutual coupling.
The correction factor C is shown if fig. 4, for two
different incidence angles, as a function of d/A.
General conclusions, holding for all 0-values, are
that C=1 for large d/A as well as for d/A = m/2
(m = 1, 2, ....) whereas d/A=0 (coinciding scatter
ers) results in C=l/2. It may be concluded from the
figure that in practical situations d/A > 10 will
make the coupling negligible.
In fig. 3b we have considered the same resolution
cell and the same number of scatterers as in fig. 3a.
The difference is that the scatterers now have heights
h^ which are taken randomly from the Gaussian distri
bution
p (h/A) = —exp {-(h/A) 2 /2s 2 }
s/2tt
with s = <(h/A) 2 > = 0,3. The characteristic differ
ences between fig. 3a and fig. 3b are that, as a re
sult of the introduction of random heights, the main
lobe (0=0) becomes much smaller whereas, outside the
main lobe, the regular interference pattern is re
placed by a random amplitude structure.
Obviously the calculation of the received power will
give a different answer for each collection of heights
and therefore it only makes sense to consider the en
i. • ■ I ; i I ; = •>
0. 30. 60. 90.
0 -
Figure 5. a) One-dimensional simulation L=10A, N=49
and rms height variation 0.05. b) Same configuration
but with rms height 0.1. Dotted lines represent
h{ 1-exp (-p ) } .
semble average, as was mentioned already in relation
to eq.(2). Although not impossible it is rather time
consuming to calculate this average for a two-dimen
sional case like the one in fig.2.For this reason the
averaging process was performed for a one-dimensional
case. In fig. 5 there are 49 scatterers situated at
regular distances on a line with a length of 10A. The
heights are Gaussian distributed with rms height
variations of 0.05 (fig. 5a) and 0.1 (fig. 5b).
In both cases the average of 100 samples was calcu
lated. It was demonstrated before (Krul 1979) that
0° can be written as:
0° = F(0) exp (-p 2 ) + h {1-exp(-p 2 )} (4)
where
p = 4tt cos 0 \/< (h/A) 2 >i
The right hand side of eq. (4) consists of two terms,
the ratio of which is determined by the parameter p.
The first term is the so-called, coherent term that be
comes dominant when the rms height (and p by that) is
made small. For p=0 the result is equal to F(0) which
corresponds with fig. 3a. The second term of eq.
(4) is the one that remains for large values of p.
This term represents the incoherent addition of the
scattered contributions, it is indicated in fig. 5
by dotted lines. Only for this term the result ex
pressed by eq.(3) will hold.
3 INSTRUMENTAL ASPECTS
In the preceding section it was demonstrated that
radar cross section is, with some restrictions, a
useful concept to describe the received power for
distributed targets. Since it is a step by step
method it opens the way to calibrate the system. As
a first step we calibrate the power relations by
means of a technically well defined point target.
After that suitable interaction models based on the
multi-scatterer assumption are introduced. These
simplified descriptions of the wave-target interac-'
1035