Channel estimation for millimeter-wave (mmWave)
massive MIMO with hybrid precoding is challenging, since the
number of radio frequency (RF) chains is usually much smaller
than that of antennas. To date, several channel estimation schemes
have been proposed for mmWave massive MIMO over narrowband channels, while practical mmWave channels exhibit the
frequency-selective fading (FSF). To this end, this letter proposes
a multi-user uplink channel estimation scheme for mmWave
massive MIMO over FSF channels. Specifically, by exploiting the
angle-domain structured sparsity of mmWave FSF channels, a
distributed compressive sensing (DCS)-based channel estimation
scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed
algorithm can solve the power leakage problem caused by the
continuous angles of arrival or departure (AoA/AoD). Simulation
results verify that the good performance of the proposed solution.