Design of a Parallel Sampling Encoder for Analog to Information (A2I) Converters: Theory, Architecture and

We discuss the architecture and design of parallel sampling front ends for analog to information (A2I) converters. As a way of example, we detail the design of a custom 0.5 m CMOS implementation of a mixed signal parallel sampling encoder architecture. The system consists of configurable parallel analog processing channels, whose output is sampled by traditional analog-to-digital converters (ADCs). The analog front-end modulates the signal of interest with a high-speed digital chipping sequence and integrates the result prior to sampling at a low rate. An FPGA is employed to generate the chipping sequences and process the digitized samples.

[1]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[2]  Emmanuel J. Candès,et al.  Design and implementation of a fully integrated compressed-sensing signal acquisition system , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[3]  B. Wooley,et al.  A 40-GHz-bandwidth, 4-bit, time-interleaved A/D converter using photoconductive sampling , 2003, IEEE J. Solid State Circuits.

[4]  A. J. Jerri.  The Shannon sampling theorem—Its various extensions and applications: A tutorial review , 1977, Proceedings of the IEEE.

[5]  Yonina C. Eldar,et al.  Filterbank reconstruction of bandlimited signals from nonuniform and generalized samples , 2000, IEEE Trans. Signal Process..

[6]  A. Andreou,et al.  A CMOS analog-digital integrated circuit for charged particle spectrum measurements , 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.

[7]  S. Kirolos,et al.  Practical Issues in Implementing Analog-to-Information Converters , 2006, 2006 6th International Workshop on System on Chip for Real Time Applications.

[8]  Y.C. Jenq.  Digital spectra of non-uniformly sampled signals: theories and applications. IV. Measuring clock/aperture jitter of an A/D system , 1990, 7th IEEE Conference on Instrumentation and Measurement Technology.

[9]  S. Kirolos,et al.  DepartmentofElectricalandComputerEngineering,RiceUniversity,Houston,TX DepartmentsofMathematicsandEECS,UniversityofMichigan,AnnArbor,MI , 2022 .

[10]  Richard G. Baraniuk,et al.  On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[11]  Robert H. Walden,et al.  Analog-to-digital converter survey and analysis , 1999, IEEE J. Sel. Areas Commun..

[12]  Yonina C. Eldar,et al.  Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals , 2007, IEEE Transactions on Signal Processing.

[13]  Yonina C. Eldar,et al.  Xampling: Analog to digital at sub-Nyquist rates , 2009, IET Circuits Devices Syst..

[14]  W. Black,et al.  Time interleaved converter arrays , 1980, 1980 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

[15]  Y.-C. Jenq,et al.  Digital spectra of nonuniformly sampled signals: fundamentals and high-speed waveform digitizers , 1988 .

[16]  Justin K. Romberg,et al.  Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.

[17]  Andreas G. Andreou,et al.  A design framework for low power analog filter banks , 1995 .

[18]  Yonina C. Eldar,et al.  From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.

[19]  Michael P. Friedlander,et al.  Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..

[20]  Richard G. Baraniuk,et al.  Theory and Implementation of an Analog-to-Information Converter using Random Demodulation , 2007, 2007 IEEE International Symposium on Circuits and Systems.

[21]  S. Kirolos,et al.  Random Sampling for Analog-to-Information Conversion of Wideband Signals , 2006, 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software.

[22]  Richard G. Baraniuk,et al.  The compressive multiplexer for multi-channel compressive sensing , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[23]  A. J. Jerri.  Correction to "The Shannon sampling theorem—Its various extensions and applications: A tutorial review" , 1979 .

[24]  S. Kirolos,et al.  Analog-to-Information Conversion via Random Demodulation , 2006, 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software.

[25]  Joel Max,et al.  Quantizing for minimum distortion , 1960, IRE Trans. Inf. Theory.

[26]  Keir Lauritzen,et al.  Design of a CMOS A2I data converter: Theory, architecture and implementation , 2011, 2011 45th Annual Conference on Information Sciences and Systems.