Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Improvement of Output Impedance Modulation Effect of High Speed DAC

Authors
Dongmei Zhu, Xiaodan Zhou, Jun Liu, Luncai Liu, Dayong Pu
Corresponding Author
Dongmei Zhu
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.77How to use a DOI?
Keywords
DAC; SFDR; output impedance; nonlinearity distortion.
Abstract

High speed digital to analog converter (DAC) are always used in signal processing system to accomplish the signal reconstruction, where the spurious free dynamic range (SFDR) of the system is especially important. The SFDR determines the ability of DAC and the system to distinguish the carrier signal from other spurs. By increasing the output impedance of the high speed DAC will help to lower the nonlinearity, thus improve the SFDR. This paper describes the technique which will reduce the nonlinearity by increasing the output impedance of the DAC, which can achieve 14 bit resolution and 1.2GSPS, and SFDR 76dBc@FDAC=1.2GHz, FOUT=50MHz.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.77How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dongmei Zhu
AU  - Xiaodan Zhou
AU  - Jun Liu
AU  - Luncai Liu
AU  - Dayong Pu
PY  - 2016/11
DA  - 2016/11
TI  - Improvement of Output Impedance Modulation Effect of High Speed DAC
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 433
EP  - 439
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.77
DO  - https://doi.org/10.2991/aiea-16.2016.77
ID  - Zhu2016/11
ER  -