Abstract :
[en] We address the problem of detecting slow-moving
targets using a space-time adaptive processing (STAP) radar.
The construction of optimum weights at each range implies
the estimation of the clutter covariance matrix. This is typically
done by straight averaging of neighboring data snapshots.
However, in bistatic configurations, these snapshots are rangedependent.
As a result, straight averaging results in poor performance.
After reviewing existing methods for handling the
range-dependence, we present new methods exploiting the precise
shape of the bistatic direction-Doppler curves.
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