A low-complexity MIMO dual function radar communication system via one-bit sampling

Dual-function radar-communication (DFRC) system is flexible to be applied in a variety of scenarios. However, it is challenging to implement a low-cost low-complexity DFRC system due to the dynamic cooperation between radar sensing and communication tasks. In this paper, we propose to implement a low-complexity multiple input multiple output DFRC (MIMO-DFRC) system relying on the generalized spatial modulation (GSM) and the low-resolution sampling. To deal with the induced quantization distortion and dynamic antenna allocation, we formulate the radar sensing problem as an atomic norm-based convex problem, which can be solved by off-the-shelf solvers. Simulation results demonstrate that the proposed MIMO-DFRC system can achieve delay and azimuth estimation with accuracy as low as about 10% of the resolution grids while employing 1-bit sampling.