  We propose a novel low-resolution-aware recursive least squares channel
estimation algorithm for uplink multi-user multiple-input multiple-output
systems. In order to reduce the energy consumption, 1-bit ADCs are used on each
receive antenna. The loss of performance can be recovered by the large-scale
antenna arrays at the receiver. The proposed adaptive channel estimator can
mitigate the distortions due to the coarse quantization. Moreover, we propose a
low-resolution-aware minimum mean square error based successive interference
canceler to successively mitigate the multiuser interference. Simulation
results show good performance of the system in terms of mean square error and
bit error rate.
