Blind Modulo Analog-to-Digital Conversion

Amir Weiss*, Everest Huang, Or Ordentlich, Gregory W. Wornell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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 conversion 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.

Original languageAmerican English
Pages (from-to)4586-4601
Number of pages16
JournalIEEE Transactions on Signal Processing
Volume70
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 1991-2012 IEEE.

Keywords

  • Data conversion
  • adaptive filtering
  • automatic gain control
  • blind signal processing
  • least-mean-squares

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