Graphics Programs Reference
In-Depth Information
scat1
scat2
r
ad
a
r l
in
e
of
si
g
ht
(a)
radar
1
m
ra
d
ar l
i
ne
of
si
g
ht
(b)
0.707
m
radar
Figure 11.2. RCS dependency on aspect angle. (a) Zero aspect angle, zero
electrical spacing. (b)
45°
1.414λ
aspect angle,
electrical spacing.
Fig. 11.3
shows the composite RCS corresponding to this experiment. This
plot can be reproduced using MATLAB function
Ðrcs_aspect.mÑ
given in List-
ing 11.1 in Section 11.9. As clearly indicated by Fig. 11.3, RCS is dependent
on the radar aspect angle; thus, knowledge of this constructive and destructive
interference between the individual scatterers can be very critical when a radar
tries to extract the RCS of complex or maneuvering targets. This is true
because of two reasons. First, the aspect angle may be continuously changing.
Second, complex target RCS can be viewed to be made up from contributions
of many individual scattering points distributed on the target surface. These
scattering points are often called scattering centers. Many approximate RCS
prediction methods generate a set of scattering centers that define the back-
scattering characteristics of such complex targets.
MATLAB Function Ðrcs_aspect.mÑ
The function
Ðrcs_aspect.mÑ
computes and plots the RCS dependency on
aspect angle. Its syntax is as follows:
[rcs] = rcs_aspect (scat_spacing, freq)
where
Symbol
Description
Units
Status
scat_spacing
scatterer spacing
meters
input
freq
radar frequency
Hz
input
rcs
array of RCS versus
aspect angle
dBsm
output
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