WFRFT Waveform Design and Signal Detection for Massive MIMO Systems with One-Bit ADCs

We consider the problem of uplink waveform design and signal detection for massive multiple-input multiple-output (MIMO) systems with one-bit analog-to-digital converters (ADCs). In order to further enhance the signal detection accuracy, we propose a weighted fractional Fourier transform (WFRFT) waveform design and fast local search signal detection algorithm. Spefically, the proposed algorithm converts the original signal to a double component generalized WFRFT (DCGWFRFT) signal at transmitter, and the receiver utilizes a fast local search signal detection method to recover the original signal. Due to the one-bit quantization of received signals, most amplitude and phase information of received signals is lost, and traditional DCGWFRFT waveform design schemes may fail to reconstruct the original waveform. Different from traditional DCGWFRFT waveform design schemes, the proposed method redesigns the waveform reconstruction stage at the receiver, and directly detecting the original signal with an equivalent channel equalization matrix. Simulation results demonstrate that our proposed algorithm outperforms existing methods.