Blind Modulo Analog-to-Digital Conversion

TL;DR

This paper introduces a blind modulo-ADC architecture that adaptively digitizes signals with unknown spectral characteristics, eliminating the need for prior spectral knowledge and maintaining high fidelity in challenging scenarios.

Contribution

It presents a novel blind modulo-ADC design with automatic level adjustment and adaptive unwrapping, enabling effective digitization without prior spectral information.

Findings

Demonstrates asymptotic matching of input signal characteristics

Shows significant reduction in bits needed for high-fidelity conversion

Validates performance through detailed simulations

Abstract

In a growing number of applications, there is a need to digitize signals whose spectral characteristics are challenging for traditional Analog-to-Digital Converters (ADCs). Examples, among others, include systems where the ADC must acquire at once a very wide but sparsely and dynamically occupied bandwidth supporting diverse services, as well as systems where the signal of interest is subject to strong narrowband co-channel interference. In such scenarios, the resolution requirements can be prohibitively high. As an alternative, the recently proposed modulo-ADC architecture can in principle require dramatically fewer bits in the conversation to obtain the target fidelity, but requires that information about the spectrum be known and explicitly taken into account by the analog and digital processing in the converter, which is frequently impractical. To address this limitation, we develop a blind version of the architecture that requires no such knowledge in the converter, without sacrificing performance. In particular, it features an automatic modulo-level adjustment and a fully adaptive modulo unwrapping mechanism, allowing it to asymptotically match the characteristics of the unknown input signal. In addition to detailed analysis, simulations demonstrate the attractive performance characteristics in representative settings.