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We develop a direction of arrival (DoA) and channel estimation algorithm forthe one-bit quantized millimeter-wave (mmWave) massive multiple-inputmultiple-output (MIMO) system. By formulating the estimation problem as a noisyone-bit compressed sensing problem, we propose a computationally efficientgridless solution based on the expectation-maximization generalized approximatemessage passing (EMGAMP) approach. The proposed algorithm does not need theprior knowledge about the number of DoAs and outperforms the existing methodsin distinguishing extremely close DoAs for the case of one-bit quantization.Both the DoAs and the channel coefficients are estimated for the case ofone-bit quantization. The simulation results show that the proposed algorithmhas effective estimation performances when the DoAs are very close to eachother.

Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing