  We develop a direction of arrival (DoA) and channel estimation algorithm for
the one-bit quantized millimeter-wave (mmWave) massive multiple-input
multiple-output (MIMO) system. By formulating the estimation problem as a noisy
one-bit compressed sensing problem, we propose a computationally efficient
gridless solution based on the expectation-maximization generalized approximate
message passing (EMGAMP) approach. The proposed algorithm does not need the
prior knowledge about the number of DoAs and outperforms the existing methods
in distinguishing extremely close DoAs for the case of one-bit quantization.
Both the DoAs and the channel coefficients are estimated for the case of
one-bit quantization. The simulation results show that the proposed algorithm
has effective estimation performances when the DoAs are very close to each
other.
