Unlimited Sampling of Multiband Signals: Single-Channel Acquisition and Recovery

TL;DR

This paper introduces a method for reconstructing multiband signals from modulo-folded samples using a single-channel setup, enabling sub-Nyquist sampling and high dynamic range recovery, with practical hardware benefits.

Contribution

It presents a novel recovery algorithm within the USF framework that achieves sub-Nyquist sampling and improves dynamic range handling for multiband signals.

Findings

Achieves up to 13x dynamic range improvement in hardware.

Demonstrates recovery guarantees for sub-Nyquist sampling.

Tightens the sampling theorem for bandpass signals.

Abstract

In this paper, we address the problem of reconstructing multiband signals from modulo-folded, pointwise samples within the Unlimited Sensing Framework (USF). Focusing on a low-complexity, single-channel acquisition setup, we establish recovery guarantees demonstrating that sub-Nyquist sampling is achievable under the USF paradigm. In doing so, we also tighten the previous sampling theorem for bandpass signals. Our recovery algorithm demonstrates up to a 13x dynamic range improvement in hardware experiments with up to 6 spectral bands. These results enable practical high-dynamic-range multiband acquisition in scenarios previously limited by dynamic range and excessive oversampling.