Sliding Window Based Linear Signal Detection Using 1-Bit Quantization and Oversampling for Large-Scale Multiple-Antenna Systems

Recent years, large-scale multiple-input multiple-output (MIMO) systems with low resolution analog-to-digital converters (ADCs) have been attracted much more attention. As one extreme case, 1-bit ADCs on each receive antenna can largely reduce the energy consumption and economical cost. In this work we study systems with 1-bit ADCs and oversampling at the receiver. The loss of information due to the coarse quantization can be partially recovered by the oversampled symbols. Moreover, unlike prior works we propose a sliding window based receiver, which has low computational cost but remains with high accuracy. We also present low-resolution aware zero forcing (LRA-ZF) and minimum mean square error (LRA-MMSE) receivers for the 1-bit oversampled signals. Simulation results show good performance of the system in terms of the symbol error rate.