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The high path loss associated with millimeter wave (mmWave) frequencycommunication can be compensated by large scale antenna arrays such asmultiple-input multiple-output (MIMO) systems. The hybrid beamformingarchitecture which uses fewer radio frequency chains is implemented to reducepower consumption and hardware complexity, while still supporting multi-streamcommunication. We propose an efficient expectation-maximization (EM)-basedmmWave channel estimator for a lens-based hybrid MIMO system with lowresolution sampling at the receiver. The lens-based beamformer is investigatedto provide increased antenna gain and reduced implementation complexity as theconventional beam selection network is excluded. Low resolution sampling at theanalog-to-digital converters is implemented for reduced power consumption. Theproposed solution with a robust maximum a posteriori estimator based on the EMalgorithm performs better than the conventional EM approach and minimum meansquare error baselines in medium to high signal-to-noise ratio regions.

Millimeter Wave Channel Estimation for Lens based Hybrid MIMO with Low Resolution ADCs