clutter modeling techniques
- From: vizziee@xxxxxxxxx
- Date: 20 Jul 2005 22:38:11 -0700
Hi.
I am a newbie in stats and mostly work in digital electronics. However,
one of my recent jobs is clutter modeling, which may need some guidance
from stat people. Clutter modeling is the term used in radar/sonar
technology. It requires finding out the distribution (with a closed
form expression, of course) that best fits the given raw/scatter data.
This information is useful in determining some signal processing
options that can give best results, should the distribution is known.
I read some literature on the topic about the techniques that can be
used here. Perhaps probability paper plot, chi-square test and KS test
are the ones (since they match two distributions; however in this case
we need to assume a distribution for our raw data.....is this the
correct method?).
Are there techniques which may give netter results here. I search
MATLAB and found support available for KS test and probability paper
plot techniques. Since inherent job is simulation on MATLAB, plz.
suggest methods for the same.
Sincerely,
KVM.
.
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