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In this paper, an efficient beam and channel acquisition scheme together withjoint angle-delay power profile (JADPP) construction are proposed forsingle-carrier mm-wave wideband sparse massive multiple-input multiple-output(MIMO) channels when hybrid beamforming architecture is utilized. We considertwo different modes of operation, namely slow-time beam acquisition andfast-time instantaneous channel estimation, for training stage of time divisionduplex based systems. In the first mode, where pre-structured hybrid beams areformed to scan intended angular sectors, the joint angle-delay sparsity maptogether with power intensities of each user channels are obtained by using anovel constant false alarm rate thresholding algorithm inspired from adaptiveradar detection theory. The proposed thresholding algorithm employs aspatio-temporal adaptive matched filter type estimator, taking the stronginterference due to simultaneously active multipath components of differentuser channels into account, in order to estimate JADPP of each user. Afterapplying the proposed thresholding algorithm on the estimated power profile,the angle-delay sparsity map of the massive MIMO channel is constructed, basedon which the channel covariance matrices (CCMs) are formed with significantlyreduced amount of training snapshots. Then, by using the estimated CCMs, theanalog beamformer is reconstructed by means of a virtual sectorization whiletaking the inter-group and inter-symbol interference into account. Finally, forthe second mode of operation, two novel reduced-rank instantaneous channelestimators, operating in a proper beamspace formed by the hybrid structure, areproposed. The proposed beam and channel acquisition techniques attain thechannel estimation accuracy of minimum mean square error filter with trueknowledge of CCMs.

An Efficient Beam and Channel Acquisition via Sparsity Map and Joint Angle-Delay Power Profile Estimation for Wideband Massive MIMO Systems