Loading…
Model-Based Compensation of SAR Nonlinearity
In the successive approximation analog-to-digital conversion principle, sample-and-hold (S/H) nonideality, producing an input signal variation that is less than the least significant bit (LSB) during the conversion time, gives rise to intrinsic and significant dynamic nonlinearity. In this paper, a...
Saved in:
Published in: | IEEE transactions on instrumentation and measurement 2009-03, Vol.58 (3), p.541-550 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | In the successive approximation analog-to-digital conversion principle, sample-and-hold (S/H) nonideality, producing an input signal variation that is less than the least significant bit (LSB) during the conversion time, gives rise to intrinsic and significant dynamic nonlinearity. In this paper, a method for compensating such nonlinearity is proposed. Theoretical fundamentals of the method are reported by paying particular attention to the accuracy of the compensation. With this aim, the dynamic phase distortion that is related to the intrinsic dynamic nonlinearity is modeled first. Then, a compensation technique based on the definition of compensated output levels maximizing the signal-to-noise-and-distortion (SINAD) ratio, namely, a particular case of the Max-Lloyd conditions for minimizing distortion in nonuniform quantizers, is applied. Simulation and experimental results show the method effectiveness in compensating the intrinsic dynamic nonlinearity and in incrementing the SINAD ratio in actual working conditions. |
---|---|
ISSN: | 0018-9456 1557-9662 |
DOI: | 10.1109/TIM.2008.2005817 |