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Input-Dependent Integral Nonlinearity Modeling for Pipelined Analog-Digital Converters
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
University of Gävle. (ITB Electronics)
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-6855-5868
2010 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 59, no 10, 2609-2620 p.Article in journal (Refereed) Published
Abstract [en]

Integral nonlinearity (INL) for pipelined analog-digital converters (ADCs) operating at RF is measured and characterized. A parametric model for the INL of pipelined ADCs is proposed, and the corresponding least-squares problem is formulated and solved. The INL is modeled both with respect to the converter output code and the frequency stimuli, which is dynamic modeling. The INL model contains a static and a dynamic part. The former comprises two 1-D terms in ADC code that are a sequence of zero-centered linear segments and a polynomial term. The 2-D dynamic part consists of a set of polynomials whose parameters are dependent on the ADC input stimuli. The INL modeling methodology is applied to simulated and experimental data from a 12-bit commercial ADC running at 210 mega samples per second. It is demonstrated that the developed methodology is an efficient way to capture the INL of nowadays ADCs running at RF, and it is believed that the methodology is powerful for INL-based ADC postcorrection in wideband applications.

Place, publisher, year, edition, pages
IEEE , 2010. Vol. 59, no 10, 2609-2620 p.
Keyword [en]
Analog-digital conversion, integral nonlinearity (INL), least-squares methods, parametric modeling, postcorrection, segmentation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-12001DOI: 10.1109/TIM.2010.2045551ISI: 000283263900014Scopus ID: 2-s2.0-77956774847OAI: oai:DiVA.org:kth-12001DiVA: diva2:293911
Note
QC 20110201 Uppdaterad från in press till published (20110201). © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Available from: 2011-11-11 Created: 2010-02-15 Last updated: 2017-12-12Bibliographically approved
In thesis
1. Modeling and post-correction of pipeline analog-digital converters
Open this publication in new window or tab >>Modeling and post-correction of pipeline analog-digital converters
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Integral nonlinearity (INL) for pipelined analog-digital converters (ADCs) operating at radio frequency is measured and characterized. A parametric model for the INL of pipelined ADCs is proposed and the corresponding least-squares problem is formulated and solved. The estimated model parameters are used to design a post-correction block in order to compensate the pipeline ADC. The INL is modeled both with respect to the ADC output code k and the frequency stimuli, which is dynamic modeling. The INL model contains a static and a dynamic part. The former comprises two one-dimensional terms in ADC code that are a sequence of zero-centered linear segments and a polynomial term. The two-dimensional dynamic part consists of a set of polynomials whose parameters are dependent on the ADC input stimuli. The INL modeling methodology is applied to simulated and experimental data from a 12-bit commercial ADC running at 210 MSPS. It is demonstrated that the developed methodology is an efficient way to capture the INL of pipelined ADCs running at radio frequency. The concept of ADC digital output post-correction by INL is firstly introduced. Further, the estimated INL model is used for ADCs post-correction. The INL model is subtracted out of the digital output for post-correction. The static compensation part is made by a set of gains and offsets, that each (gain and offset) corrects an output code k range. The dynamic information, i.e. frequency dependency of the INL dynamic component is used to construct a set of filters blocks that perform ADC compensation in the time domain. The compensation scheme is applied on measured data of two ADCs of the same type (Analog Devices AD9430). Performance improvement in terms of spurious free dynamic range, signal to noise and distortion ratio, intermodulation distortion and noise are obtained. The frequency-dependent dynamic compensation can be generalized by making the use of the likely similar frequency information of the INL models (of different ADCs of the same type) to achieve a cross-ADC compensation, i.e. post-correcting of one ADC by the INL model of another converter.

 

Publisher
70 p.
Series
Trita-EE, ISSN 1653-5146
Identifiers
urn:nbn:se:kth:diva-12003 (URN)
Presentation
2010-02-05, Sal L21, KTH, Drottning Kristinas väg 30, kv, Stockholm, 13:00 (English)
Opponent
Supervisors
Available from: 2010-02-15 Created: 2010-02-15 Last updated: 2012-03-21

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