  In this paper, we consider a distributed multiple-input multiple-output
(MIMO) radar which radiates waveforms with non-ideal cross- and
auto-correlation functions and derive a novel subspace-based procedure to
detect and localize multiple prospective targets. The proposed solution solves
a sequence of composite binary hypothesis testing problems by resorting to the
generalized information criterion (GIC); in particular, at each step, it aims
to detect and localize one additional target, upon removing the interference
caused by the previously-detected targets. An illustrative example is provided.
