One-Bit ADCs/DACs Based MIMO Radar: Performance Analysis and Joint Design

Extremely low-resolution (e.g. one-bit) analog-to-digital converters (ADCs) and digital-to-analog (DACs) can substantially reduce hardware cost power consumption for MIMO radar especially with large scale antennas. In this paper, we focus on the detection performance analysis joint design one-bit ADCs DACs. Specifically, under assumption of low signal-to-noise ratio (SNR) interference-to-noise (INR), derive expressions probability ($\mathcal{P}_d$) false alarm ($\mathcal{P}_f$) also theoretical gap to infinite-bit radars noise-only case. We further find that a fixed $\mathcal{P}_f$, $\mathcal{P}_d$ depends defined quantized signal-to-interference-plus-noise (QSINR), which is function transmit waveform receive filter. Thus, an optimization problem arises naturally maximize QSINR by designing For formulated problem, propose alternating filter maximization (GREET). At each iteration GREET, optimal updated via minimum variance distortionless response (MVDR) method, due difficulty in global optimality, direction method multipliers (ADMM) based algorithm devised efficiently high-quality suboptimal waveform. Numerical simulations are consistent demonstrate effectiveness proposed algorithm.