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This paper presents a general reduced-rank channel model and a corresponding low-complexity estimation scheme for wideband spatial-correlated Multiple-Input Multiple-Output (MIMO) systems. The authors focus on Orthogonal Frequency Division Multiplex (OFDM) based systems. The proposed reduced-rank model is useful for many post-channel-estimation applications such as Channel State Information (CSI) feedback, precoder design and user/channel selection. Their work is an extension of an earlier investigation on narrowband MIMO channels. Like the narrowband case, the proposed wide-band channel estimator also offer the advantage of rendering both channel coefficients and mean Angle of Departure (AoD) simultaneously.
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