Blind Modulo Analog-to-Digital Conversion

被引:5
|
作者
Weiss, Amir [1 ]
Huang, Everest [2 ]
Ordentlich, Or [3 ]
Wornell, Gregory W. [1 ]
机构
[1] MIT, Elect Engn & Comp Sci Dept, Cambridge, MA 02139 USA
[2] MIT, Lincoln Lab, Adv Satcom Syst & Operat Grp, Lexington, MA 02421 USA
[3] Hebrew Univ Jerusalem, Sch Comp Sci & Engn, Edmond J Safra Campus, IL-91904 Jerusalem, Israel
关键词
Standards; Gain control; Dynamic range; Quantization (signal); Narrowband; Analog-digital conversion; Spectrogram; Data conversion; automatic gain control; blind signal processing; adaptive filtering; least-mean-squares; SIGNALS;
D O I
10.1109/TSP.2022.3198184
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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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页码:4586 / 4601
页数:16
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