NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems

We introduce NeuroRadar, a novel low-power radar paradigm that realizes the concept of neuromorphic radar sensing. NeuroRadar incorporates a spike-generation radar sensor that directly interfaces with SNN-based neuromorphic processors, leading to superior energy efficiency. We devise a low-power, low-complexity radar front end based on the SIL principle. Both our theoretical analysis and experimental results demonstrate that multi-chain SIL radar sensors can supply ample information for short-range, low-velocity sensing applications. We implement the neuromorphic radar system through a printed-circuit board (PCB) prototype and carry out simulations for the IC version. Our experiments verify NeuroRadar's ability to empower resource-constrained IoT devices to perform low-power smart sensing.