Blind Modulo Analog-to-Digital Conversion

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 ba...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 70; pp. 4586 - 4601
Main Authors Weiss, Amir, Huang, Everest, Ordentlich, Or, Wornell, Gregory W.
Format Journal Article
LanguageEnglish
Published New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
adaptive filtering
Analog to digital conversion
Analog to digital converters
Analog-digital conversion
automatic gain control
blind signal processing
Cochannel interference
Data conversion
Dynamic range
Gain control
least-mean-squares
Narrowband
Quantization (signal)
Spectrogram
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Summary: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.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2022.3198184