Unlimited Sampling Radar: a Real-Time End-to-End Demonstrator

In this paper, the trade-off between the quantization noise and the dynamic
range of ADCs used to acquire radar signals is revisited using the Unlimited
Sensing Framework (USF) in a practical setting. Trade-offs between saturation
and resolution arise in many applications, like radar, where sensors acquire
signals which exhibit a high degree of variability in amplitude. To solve this
issue, we propose the use of the co-design approach of the USF which acquires
folded version of the signal of interest and leverages its structure to
reconstruct it after its acquisition. We demonstrate that this method
outperforms other standard acquisition methods for Doppler radars. Taking our
theory all the way to practice, we develop a prototype USF-enabled Doppler
Radar and show the clear benefits of our method. In each experiment, we show
that using the USF increases sensitivity compared to a classic acquisition
approach.