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