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Journal ArticleDOI

Digital-domain calibration of multistep analog-to-digital converters

01 Dec 1992-IEEE Journal of Solid-state Circuits (IEEE)-Vol. 27, Iss: 12, pp 1679-1688
TL;DR: A digital-domain self-calibration technique, which can directly measure and cancel code errors in multistep conversions, is developed to improve the linearity of multi-step analog-to-digital converters (ADCs).
Abstract: A digital-domain self-calibration technique, which can directly measure and cancel code errors in multistep conversions, is developed to improve the linearity of multi-step analog-to-digital converters (ADCs). While conventional self-calibration techniques require separate digital-to-analog converters (DACs) for calibration purpose to subtract nonlinearity errors in the analog domain, the proposed digital calibration technique uses add-on digital logic to subtract nonlinearity errors digitally from uncalibrated digital outputs. In a prototype 12-b fully differential two-step ADC implemented using a 2- mu m n-well CMOS technology, this technique cancels MOS switch feedthrough, op-amp offsets, and interstage gain errors simultaneously, and improves total harmonic distortion from -64 to -77 dB. >
Citations
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Book
31 Jan 2000
TL;DR: The book outlines the design of the basic building blocks such as operational amplifiers, comparators, and reference generators with emphasis on the practical aspects and explains in detail how to derive data converter requirements for a given communication system.
Abstract: CMOS Data Converters for Communications distinguishes itself from other data converter books by emphasizing system-related aspects of the design and frequency-domain measures. It explains in detail how to derive data converter requirements for a given communication system (baseband, passband, and multi-carrier systems). The authors also review CMOS data converter architectures and discuss their suitability for communications. The rest of the book is dedicated to high-performance CMOS data converter architecture and circuit design. Pipelined ADCs, parallel ADCs with an improved passive sampling technique, and oversampling ADCs are the focus for ADC architectures, while current-steering DAC modeling and implementation are the focus for DAC architectures. The principles of the switched-current and the switched-capacitor techniques are reviewed and their applications to crucial functional blocks such as multiplying DACs and integrators are detailed. The book outlines the design of the basic building blocks such as operational amplifiers, comparators, and reference generators with emphasis on the practical aspects. To operate analog circuits at a reduced supply voltage, special circuit techniques are needed. Low-voltage techniques are also discussed in this book. CMOS Data Converters for Communications can be used as a reference book by analog circuit designers to understand the data converter requirements for communication applications. It can also be used by telecommunication system designers to understand the difficulties of certain performance requirements on data converters. It is also an excellent resource to prepare analog students for the new challenges ahead.

325 citations

Journal ArticleDOI
TL;DR: The proposed digital background calibration scheme, applicable to multistage analog-to-digital converters (ADCs), corrects the linearity errors resulting from capacitor mismatches and finite opamp gain and significantly improves the efficiency of the digital correlation.
Abstract: The proposed digital background calibration scheme, applicable to multistage (pipelined or algorithmic/cyclic) analog-to-digital converters (ADCs), corrects the linearity errors resulting from capacitor mismatches and finite opamp gain. A high-accuracy calibration is achieved by recalculating the digital output based on each stage's equivalent radix. The equivalent radices are extracted in the background by using a digital correlation method. The proposed calibration technique takes advantage of the digital redundancy architecture inherent to most pipelined ADCs. In the proposed method, the SNR is not degraded from the pseudorandom noise sequence injected into the system. A two-channel ADC architecture with negligible overhead is also proposed to significantly improve the efficiency of the digital correlation. Simulation results confirm that 16-bit linearity can be achieved after calibration for an ADC with /spl sigma/=0.1% capacitor mismatches and 60 dB opamp gain.

240 citations

Journal ArticleDOI
TL;DR: In this paper, a 13-b 5-MHz pipelined analog-to-digital converter (ADC) was designed with the goal of minimizing power dissipation by using a high swing residue amplifier and by optimizing the per stage resolution.
Abstract: A 13-b 5-MHz pipelined analog-to-digital converter (ADC) was designed with the goal of minimizing power dissipation. Power was reduced by using a high swing residue amplifier and by optimizing the per stage resolution. The prototype device fabricated in a 1.2 /spl mu/m CMOS process displayed 80.1 dB peak signal-to-noise plus distortion ratio (SNDR) and 82.9 dB dynamic range. Integral nonlinearity (INL) is 0.8 least significant bits (LSB), and differential nonlinearity (DNL) is 0.3 LSB for a 100 kHz input. The circuit dissipates 166 mW on a 5 V supply.

233 citations

Journal ArticleDOI
TL;DR: A solution is first presented based on a periodic sampling procedure and a simple least-squares reconstruction method that is able to recover the unknown power spectrum of a wide-sense stationary signal from the obtained sub-Nyquist rate samples and the statistical properties of the estimated power spectrum.
Abstract: In several applications, such as wideband spectrum sensing for cognitive radio, only the power spectrum (a.k.a. the power spectral density) is of interest and there is no need to recover the original signal itself. In addition, high-rate analog-to-digital converters (ADCs) are too power hungry for direct wideband spectrum sensing. These two facts have motivated us to investigate compressive wideband power spectrum sensing, which consists of a compressive sampling procedure and a reconstruction method that is able to recover the unknown power spectrum of a wide-sense stationary signal from the obtained sub-Nyquist rate samples. It is different from spectrum blind sampling (SBS), which aims at reconstructing the original signal instead of the power spectrum. In this paper, a solution is first presented based on a periodic sampling procedure and a simple least-squares reconstruction method. We evaluate the reconstruction process both in the time and frequency domain. Then, we examine two possible implementations for the compressive sampling procedure, namely complex Gaussian sampling and multicoset sampling, although we mainly focus on the latter. A new type of multicoset sampling is introduced based on the so-called minimal sparse ruler problem. Next, we analyze the statistical properties of the estimated power spectrum. The computation of the mean and the covariance of the estimates allows us to calculate the analytical normalized mean squared error (NMSE) of the estimated power spectrum. Further, when the received signal is assumed to contain only circular complex zero-mean Gaussian i.i.d. noise, the computed mean and covariance can be used to derive a suitable detection threshold. Simulation results underline the promising performance of our proposed approach. Note that all benefits of our method arise without putting any sparsity constraints on the power spectrum.

225 citations

Journal ArticleDOI
TL;DR: A skip and fill algorithm is developed to digitally self-calibrate pipelined analog-to-digital converters (ADC's) in real time, based on the concept of skipping conversion cycles randomly but filling in data later by nonlinear interpolation.
Abstract: A skip and fill algorithm is developed to digitally self-calibrate pipelined analog-to-digital converters (ADC's) in real time. The proposed digital calibration technique is applicable to capacitor-ratioed multiplying digital-to-analog converters (MDACs) commonly used in multistep or pipelined ADCs. This background calibration process can replace, in effect, a trimming procedure usually done in the factory with a hidden electronic calibration. Unlike other self-calibration techniques working in the foreground, the proposed technique is based on the concept of skipping conversion cycles randomly but filling in data later by nonlinear interpolation. This opens up the feasibility of digitally implementing calibration hardware and simplifying the task of self-calibrating multistep or pipelined ADCs. The proposed method improves the performance of the inherently fast ADCs by maintaining simple system architectures. To measure errors resulting from capacitor mismatch, of amp DC gain, offset, and switch feedthrough in real time, the calibration test signal is injected in place of the input signal using a split-reference injection technique. Ultimately, the missing signal within two-thirds of the Nyquist bandwidth is recovered with 16-b accuracy using a forty-fourth order polynomial interpolation, behaving essentially as an FIR filter,.

204 citations

References
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Book
01 Jan 1965
TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Abstract: Part 1 Probability and Random Variables 1 The Meaning of Probability 2 The Axioms of Probability 3 Repeated Trials 4 The Concept of a Random Variable 5 Functions of One Random Variable 6 Two Random Variables 7 Sequences of Random Variables 8 Statistics Part 2 Stochastic Processes 9 General Concepts 10 Random Walk and Other Applications 11 Spectral Representation 12 Spectral Estimation 13 Mean Square Estimation 14 Entropy 15 Markov Chains 16 Markov Processes and Queueing Theory

13,886 citations

Book
01 Jan 2002
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
Abstract: Part 1 Probability and Random Variables 1 The Meaning of Probability 2 The Axioms of Probability 3 Repeated Trials 4 The Concept of a Random Variable 5 Functions of One Random Variable 6 Two Random Variables 7 Sequences of Random Variables 8 Statistics Part 2 Stochastic Processes 9 General Concepts 10 Random Walk and Other Applications 11 Spectral Representation 12 Spectral Estimation 13 Mean Square Estimation 14 Entropy 15 Markov Chains 16 Markov Processes and Queueing Theory

12,407 citations

Journal ArticleDOI
Stephen H. Lewis1, H.S. Fetterman1, George Gross1, R. Ramachandran1, T.R. Viswanathan1 
TL;DR: In this paper, a 10-b 20-Msample/s analog-to-digital converter fabricated in a 0.9-mu m CMOS technology is described, which uses a pipelined nine-stage architecture with fully differential analog circuits and achieves a SNDR of 60 dB with a full-scale sinusoidal input at 5 MHz.
Abstract: A 10-b 20-Msample/s analog-to-digital converter fabricated in a 0.9- mu m CMOS technology is described. The converter uses a pipelined nine-stage architecture with fully differential analog circuits and achieves a signal-to-noise-and-distortion ratio (SNDR) of 60 dB with a full-scale sinusoidal input at 5 MHz. It occupies a 8.7 mm/sup 2/ and dissipates 240 mW. >

570 citations

Journal ArticleDOI
TL;DR: Improved computer-aided analog-to-digital converter (ADC) characterization methods based on the code density test and spectral analysis using the fast Fourier transform are described.
Abstract: Improved computer-aided analog-to-digital converter (ADC) characterization methods based on the code density test and spectral analysis using the fast Fourier transform are described. The code density test produces a histogram of the digital output codes of an ADC sampling a known input. The code density can be interpreted to compute the differential and integral nonlinearities, gain error, offset error, and internal noise. Conversion-rate and frequency-dependent behavior can also be measured.

527 citations

Journal ArticleDOI
TL;DR: A pipelined, 5-Msample/s, 9-b analog-to-digital converter with digital correction has been designed and fabricated in 3-/spl mu/m CMOS technology.
Abstract: A pipelined, 5-Msample/s, 9-b analog-to-digital converter with digital correction has been designed and fabricated in 3-/spl mu/m CMOS technology. It requires 8500 mil/SUP 2/, consumes 180 mW, and has an input capacitance of 3 pF. A fully differential architecture is used; only a two-phase nonoverlapping clock is required, and an on-chip sample-and-hold amplifier is included.

432 citations