A parametric scheme for spatially correlated sparse multiple-input multiple-output (MIMO)channel path delay estimation in scattering environments is presented in this paper. In MIMO outdoorcommunication scenarios, channel impulse responses (CIRs) of different transmit–receive antennapairs are often supposed to be sparse due to a few significant scatterers, and share a common sparsepattern, such that path delays are assumed to be equal for every transmit–receive antenna pair.In some existing works, an exact common support condition is exploited, where the path delaysare considered equal for every transmit–receive antenna pair, meanwhile ignoring the influenceof scattering. A more realistic channel model is proposed in this paper, where due to scatterers inthe environment, the received signals are modeled as clusters of multi-rays around a nominal ormean time delay at different antenna elements, resulting in a non-strictly exact common supportphenomenon. A method for estimating the channel mean path delays is then derived based on thesubspace approach, and the tracking of the effective dimension of the signal subspace that changesdue to the wireless environment. The proposed method shows an improved channel mean pathdelays estimation performance in comparison with the conventional estimation methods.