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The University of Texas at Austin

A SEIR-based ADC built-in-self-test and its application in ADC self-calibration

Abstract

dc:description.abstract

The static linearity test is one of the fundamental production tests used to measure DC performance of analog to digital converters (ADCs). It comes with high test equipment cost. An ADC built-in-self-test (BIST) is an attractive solution. However the stringent linearity requirement for an on-chip signal generator has made it prohibitive. The stimulus error identification and removal (SEIR) method has greatly reduced the linearity requirement. However, it requires a highly stable voltage offset, which remains a daunting task. This work exploits the inherit capacitive sample-and-hold circuit used in various ADC architectures to inject offset with very good constancy. A 16-bit successive approximate register (SAR) ADC with the proposed BIST scheme is modeled and simulated in Matlab to prove its validity. The results show that the estimation error on the maximum INL is less than 0.07 LSB. This BIST solution is then naturally extended to the calibration of an ADC. It is shown missing codes of such ADC can be effectively estimated and calibrated out.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Engineering
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
The University of Texas at Austin
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Jin, Xiankun
Advisor dc:contributor.advisor
  • Sun, Nan

Subjects

dc:subject × 5

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/2152/24051
OAI identifier oai:identifier
oai:repositories.lib.utexas.edu:2152/24051

Chain of custody

source
Harvested from
University of Texas
Base URL
repositories.lib.utexas.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Jin, Xiankun. A SEIR-based ADC built-in-self-test and its application in ADC self-calibration. Masters thesis, The University of Texas at Austin, 2013. http://hdl.handle.net/2152/24051