Abstract
We address the problem of detecting slow-moving targets
using space-time adaptive processing (STAP) radar. Determining
the optimum weights at each range requires data snapshots at
neighboring ranges. However, in virtually all configurations,
snapshot statistics are range dependent, meaning that snapshots
are nonstationary with respect to range. This results in poor
performance. In this paper, we propose a new compensation method
based on registration of clutter ridges and designed to work on a
single realization of the stochastic snapshot at each range. The
method has been successfully tested on simulated, stochastic
snapshots. An evaluation of performance is presented.