Paper Info
Title
Background adaptive linearization of high-speed digital-to-analog Converters
Abstract
This paper presents a digital background linearization technique for high-speed Nyquist-rate digital-to-analog Converters (DACs), based on the use of a least-mean-square (LMS) multipath adaptive filter that continuously measures and cancels non-linearity arising from static errors. In contrast to previously-published correlation-based techniques, the proposed method is not limited to the cancellation of component mismatches, but it performs the correction of the overall static characteristic regardless of the source of non-linearities. It requires only an additional low-speed accurate DAC and moderate digital hardware complexity, avoiding the need for a multibit analog-to-digital converter. The effectiveness of the proposed technique applied to a current-steering DAC suggests that it could be useful to overcome the typical high-speed DAC trade-off, allowing the elimination of static non-linearity errors without sacrificing dynamic performances.
Year
DOI
Venue
2013
10.1109/ISCAS.2013.6571909
Circuits and Systems
Keywords
Field
DocType
adaptive filters,digital-analogue conversion,least mean squares methods,linearisation techniques,Nyquist-rate,background adaptive linearization,current-steering DAC,high-speed digital-to-analog converters,least-mean-square multipath adaptive filter,static errors
Multipath propagation,Total harmonic distortion,Algorithm design,Control theory,Computer science,Linearity,Converters,Electronic engineering,Adaptive filter,Nyquist rate,Linearization
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4673-5760-9
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
andrea fenaroli1252.24
Salvatore Levantino235143.23
Carlo Samori334939.76
Andrea L. Lacaita400.68