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Sigma-dielta testability for pipeline A/D converters

Published: 24 March 2014 Publication History

Abstract

Pipeline Analog to Digital Converters (ADCs) are widely used in applications that require medium to high resolution at high acquisition speed. Despite of their quite simple working principles, they usually form rather complex mixed-signal blocks, particularly if digital correction and calibration are considered. As a result, pipeline converters are difficult to test and diagnose. In this paper, we propose to reconfigure the internal Multiplying DACs (MDACs) that perform residue amplifications as integrators, each one with an analog and a digital input. In this way, we can reuse consecutive pipeline stages to form ΣΔ modulators, with very reduced area overhead. We thus get an on-chip DC (low-frequency) probe with a digital 1-bit output that does not require any extra pin. In addition, digital test techniques developed for ΣΔ modulators may be used to enhance the diagnosing capabilities. An industrial 1.8V 15-bit 100Msps pipeline ADC that had previously been fully validated in a 0.18μm CMOS process is used as a case of study for the introduction of the DfT modifications.

References

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E. Peralias, A. Rueda, J. Prieto, and J. Huertas, "DFT and on-line test of high-performance data converters: a practical case," in Workshop on Design of Mixed-Mode Integrated Circuits and Applications, 1999, pp. 84--87.
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DATE '14: Proceedings of the conference on Design, Automation & Test in Europe
March 2014
1959 pages
ISBN:9783981537024

Sponsors

  • EDAA: European Design Automation Association
  • ECSI
  • EDAC: Electronic Design Automation Consortium
  • IEEE Council on Electronic Design Automation (CEDA)
  • The Russian Academy of Sciences: The Russian Academy of Sciences

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European Design and Automation Association

Leuven, Belgium

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Published: 24 March 2014

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DATE '14
Sponsor:
  • EDAA
  • EDAC
  • The Russian Academy of Sciences
DATE '14: Design, Automation and Test in Europe
March 24 - 28, 2014
Dresden, Germany

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Overall Acceptance Rate 518 of 1,794 submissions, 29%

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