A 1.5-bit DFT Analyzer

In this article, it is shown how to estimate the frequency response function of a linear system using a three-level digital-to-analog converter (DAC) and a 1-bit analog-to-digital converter (ADC). Estimation requires the usage of a three-level periodic stimulus signal and a sinewave, used as a dither signal to improve the effective resolution of the 1-bit ADC. By a suitable choice of the source sequence, the proposed procedure is robust to nonlinearities in the used DAC and allows detection of nonlinearities affecting the linear filter output. This article illustrates the main idea, its theoretical aspects, the system design parameters, and simulation and experimental results, obtained in the case of a passive low-pass filter.

[1]  Keith R. Godfrey,et al.  Design of Multilevel Signals for Identifying the Best Linear Approximation of Nonlinear Systems , 2013, IEEE Transactions on Instrumentation and Measurement.

[2]  Johan Schoukens,et al.  A Rigorous Analysis of Least Squares Sine Fitting Using Quantized Data: The Random Phase Case , 2014, IEEE Transactions on Instrumentation and Measurement.

[3]  Interesting eigenvectors of the Fourier transform , 2010 .

[4]  Johan Schoukens,et al.  Quick Estimation of Periodic Signal Parameters From 1-Bit Measurements , 2020, IEEE Transactions on Instrumentation and Measurement.

[5]  W. T. Holman,et al.  An integrated analog/digital random noise source , 1997 .

[6]  Dario Piga,et al.  Fixed-order FIR approximation of linear systems from quantized input and output data , 2013, Syst. Control. Lett..

[7]  T. Addabbo,et al.  Uniform-Distributed Noise Generator Based on a Chaotic Circuit , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.

[8]  Rik Pintelon,et al.  Frequency-Domain, Errors-in-Variables Estimation of Linear Dynamic Systems Using Data From Overlapping Subrecords , 2008, IEEE Transactions on Instrumentation and Measurement.

[9]  Yves Rolain,et al.  Identification of a Block-Structured Nonlinear Feedback System, Applied to a Microwave Crystal Detector , 2008, IEEE Transactions on Instrumentation and Measurement.

[10]  Keith R. Godfrey,et al.  THE DESIGN OF TERNARY PERTURBATION SIGNALS FOR LINEAR SYSTEM IDENTIFICATION , 2005 .

[11]  Johan Schoukens,et al.  Information and Statistical Efficiency When Quantizing Noisy DC Values , 2015, IEEE Transactions on Instrumentation and Measurement.

[12]  Rik Pintelon,et al.  System Identification: A Frequency Domain Approach , 2012 .

[13]  Keith R. Godfrey,et al.  A survey of readily accessible perturbation signals for system identification in the frequency domain , 2005 .

[14]  Tertulien Ndjountche,et al.  CMOS Analog Integrated Circuits: High-Speed and Power-Efficient Design , 2011 .

[15]  G. Yin,et al.  System Identification with Quantized Observations , 2010 .

[16]  Giovanni Chiorboli,et al.  ADC sinewave histogram testing with quasi-coherent sampling , 2001, IEEE Trans. Instrum. Meas..

[17]  J. Schoukens,et al.  Robust identification of transfer functions in the s- and z-domains , 1990 .

[18]  Ai Hui Tan Direct synthesis of pseudo-random ternary perturbation signals with harmonic multiples of two and three suppressed , 2013, Autom..

[19]  Luigi Carro,et al.  Ultimate low cost analog BIST , 2003, Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451).

[20]  Jerome Juillard,et al.  Consistency of weighted least-square estimators for parameter estimation problems based on binary measurements , 2009 .

[21]  Keith R. Godfrey,et al.  Design of computer-optimized pseudorandom maximum length signals for linear identification in the presence of nonlinear distortions , 2005, IEEE Transactions on Instrumentation and Measurement.

[22]  C. Sanathanan,et al.  Transfer function synthesis as a ratio of two complex polynomials , 1963 .

[23]  Bernard Widrow,et al.  Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications , 2008 .

[24]  Suat Gumussoy,et al.  Transfer Function Estimation in System Identification Toolbox via Vector Fitting , 2017, ArXiv.

[25]  Torbjörn Wigren,et al.  Adaptive filtering using quantized output measurements , 1998, IEEE Trans. Signal Process..

[26]  Congyin Shi,et al.  A Built-In Self-Test and In Situ Analog Circuit Optimization Platform , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[27]  A. Chatterjee,et al.  Low-cost test of embedded RF/analog/mixed-signal circuits in SOPs , 2004, IEEE Transactions on Advanced Packaging.

[28]  Le Yi Wang,et al.  System identification using binary sensors , 2003, IEEE Trans. Autom. Control..

[29]  Paolo Carbone,et al.  Quantitative criteria for the design of dither-based quantizing systems , 1997 .

[30]  Johan Schoukens,et al.  Best Linear Approximation of Wiener Systems Using Multilevel Signals: Theory and Experiments , 2018, IEEE Transactions on Instrumentation and Measurement.

[31]  Gyula Simon,et al.  Resonator-based nonparametric identification of linear systems , 2005, IEEE Transactions on Instrumentation and Measurement.

[32]  Le Yi Wang,et al.  Identification of Wiener systems with binary-valued output observations , 2007, Autom..

[33]  Alex S. Leong,et al.  Identification of FIR Systems With Binary Input and Output Observations , 2018, IEEE Transactions on Automatic Control.

[34]  Alan Agresti,et al.  Categorical Data Analysis , 2003 .

[35]  Graham C. Goodwin,et al.  On identification of FIR systems having quantized output data , 2011, Autom..

[36]  Jérôme Juillard,et al.  A Weighted Least-Squares Approach to Parameter Estimation Problems Based on Binary Measurements , 2010, IEEE Transactions on Automatic Control.

[37]  Keith R. Godfrey,et al.  Practical Issues in the Synthesis of Ternary Sequences , 2017, IEEE Transactions on Instrumentation and Measurement.

[38]  Jan Swevers,et al.  Identification of linear systems with binary output measurements using short independent experiments , 2015 .

[39]  Hervé Mathias,et al.  A low-cost built-in self-test method for thermally actuated resistive MEMS sensors , 2013 .