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Input Dependent Integral Nonlinearity Modeling for Pipelined Analog-Digital Converters
Signal Processing Laboratory, ACCESS Linnaeus Center, Royal Institute of Technology, Stockholm, Sweden.
Signal Processing Laboratory, ACCESS Linnaeus Center, Royal Institute of Technology, Stockholm, Sweden.
University of Gävle, Center for RF Measurement Technologies. University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences. (Elektronik)ORCID iD: 0000-0001-5429-7223
Signal Processing Laboratory, ACCESS Linnaeus Center, Royal Institute of Technology, Stockholm, Sweden.
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
2010. Vol. 59, no 10, 2609-2620 p.
Keyword [en]
Analogdigital conversion, integral nonlinearity (INL), least-squares methods, parametric modeling, postcorrection, segmentation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-7438DOI: 10.1109/TIM.2010.2045551ISI: 000283263900014Scopus ID: 2-s2.0-77956774847OAI: oai:DiVA.org:hig-7438DiVA: diva2:347928
Available from: 2010-09-03 Created: 2010-09-02 Last updated: 2016-08-10Bibliographically approved

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CiteExportLink to record
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