Blind Modulo Analog-to-Digital Conversion
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Aug 2021.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1.
4 papers.
- 2022UNO: Unlimited Sampling Meets One-Bit Quantizationcited by 11
- 2021Spiked Covariance Estimation from Modulo-Reduced Measurementscited by 1
- 2024Blind-Adaptive Quantizerscited by 1
- 2023One-Bit-Aided Modulo Sampling for DOA Estimationcited by 0
- 2024Blind-Adaptive Quantizers6 Sep 2024
- 2023One-Bit-Aided Modulo Sampling for DOA Estimation10 Sep 2023
- 2022UNO: Unlimited Sampling Meets One-Bit Quantization10 Dec 2022
- 2021Spiked Covariance Estimation from Modulo-Reduced Measurements4 Oct 2021