Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels

摘要

Channel estimation for millimeter-wave (mmWave) massive MIMO with hybridprecoding is challenging, since the number of radio frequency (RF) chains isusually much smaller than that of antennas. To date, several channel estimationschemes have been proposed for mmWave massive MIMO over narrow-band channels,while practical mmWave channels exhibit the frequency-selective fading (FSF).To this end, this letter proposes a multi-user uplink channel estimation schemefor mmWave massive MIMO over FSF channels. Specifically, by exploiting theangle-domain structured sparsity of mmWave FSF channels, a distributedcompressive sensing (DCS)-based channel estimation scheme is proposed.Moreover, by using the grid matching pursuit strategy with adaptive measurementmatrix, the proposed algorithm can solve the power leakage problem caused bythe continuous angles of arrival or departure (AoA/AoD). Simulation resultsverify that the good performance of the proposed solution.