This paper is concerned with the problem of multi-target parameter estimation in arrayed Multiple-Input Multiple-Output (MIMO) radar. In particular, the radar operates in thepresence of moving targets, where the parameters of intereststo be estimated for each target are the relative delay, Dopplerfrequency, Direction-of-Arrival (DOA) and complex path coeffi-cients (or target’s radar cross section). Using the novel concept of“array manifold extender”, the dimensionality of the observationspace increases fromNtoNNext, making the radar morepowerful than conventional MIMO radar systems by handlingmore complex targets and estimating their parameters withincreased accuracy. Two “manifold extender” are proposed inthis paper in conjunction with a novel spatiotemporal subspace-type framework for estimating the target parameters. The per-formance of proposed framework is examined using computersimulation studies.