Options
A Generic Foreground Calibration Algorithm for ADCs with Nonlinear Impairments
Author(s)
Date Issued
2018-05-30
Date Available
2019-10-08T14:07:32Z
Abstract
This paper presents a generic foreground calibration algorithm which compensates for memoryless nonlinear impairments in pipeline, SAR or hybrid ADC architectures. Amplifier nonlinearity, comparator offsets, capacitance mismatch and settling time errors are considered. During the calibration process, each element of a look up table is computed by mapping each raw ADC output value to an estimate of the corresponding input, and the most likely input corresponding to each raw ADC output is computed and stored in the table; this table is then used during normal operation to map the raw values to the calibrated ADC outputs. Complexity reduction techniques are presented to facilitate an in-circuit hardware implementation in order to reduce foreground calibration time. The algorithm's performance is evaluated using a SAR ADC model suffering from various nonlinear impairments. Results are presented for settling time errors, capacitor mismatch scenarios, and a wide range of nonlinear amplifier parameters, demonstrating a significant performance improvement in all cases.
Sponsorship
European Commission - European Regional Development Fund
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Language
English
Status of Item
Peer reviewed
Part of
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 27-30 May 2018, Florence, Italy: Proceedings
Conference Details
The 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018
ISBN
9781538648810
ISSN
0271-4310
This item is made available under a Creative Commons License
File(s)
Owning collection
Scopus© citations
5
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Views
693
Last Month
3
3
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Downloads
360
Last Week
1
1
Last Month
5
5
Acquisition Date
Mar 28, 2024
Mar 28, 2024