Smart and Flexible Digital-to-Analog Converters
Smart and Flexible Digital-to-Analog Converters proposes new concepts and implementations for flexibility and self-correction of current-steering digital-to-analog converters (DACs) which allow the attainment of a wide range of functional and performance
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Georgi Radulov • Patrick Quinn Hans Hegt • Arthur van Roermund
Smart and Flexible Digital-to-Analog Converters
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Dr. eng. Georgi Radulov, PDEng Department of Electrical Engineering Eindhoven University of Technology Den Dolech 2, Eindhoven, 5612 AZ The Netherlands [email protected]
Dr. ir. Hans Hegt Department of Electrical Engineering Eindhoven University of Technology Den Dolech 2, Eindhoven, 5612 AZ The Netherlands [email protected]
Dr. M.Sc. Patrick Quinn Xilinx Analog Mixed Signal Design Group Citywest Business Campus, Saggart One Logic Dr., Dublin, Ireland [email protected]
Prof. dr. ir. Arthur van Roermund Department of Electrical Engineering Eindhoven University of Technology Den Dolech 2, Eindhoven, 5612 AZ The Netherlands [email protected]
ISBN 978-94-007-0346-9 e-ISBN 978-94-007-0347-6 DOI 10.1007/978-94-007-0347-6 Springer Dordrecht Heidelberg London New York © Springer Science+Business Media B.V. 2011 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Cover design: Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com).
Abstract
This research work proposes new concepts of flexibility and self-correction for current-steering digital-to-analog converters (DACs) which allow the attainment of broad functional and performance specifications, high linearity, and reduced dependence on the fabrication processes. This work analytically investigates the DAC linearity with respect to the accuracy of the DAC unit elements. The main novelty of the proposed approach is in the application of the Brownian Bridge (BB) process to precisely describe the DAC Integrated-Non-Linearity (INL). The achieved results fill a gap in the general understanding of the most quoted DAC specification—the INL. Further, this work introduces a classification of the highly diverse current-steering DAC correction methods. The classification automatically points to methods that do not exist yet in the open literature (gaps). Based on the clues of the common properties and identified common techniques in the introduced classification, this work then proposes exemplary solutions to fill in the identified gaps. Further, this work systematically analyses self-calibration correction methods for the DAC mismatch errors. Their components are analyzed as three building blocks: self-measurement, error processing algorithm and self-correction block. This work systemizes their alternative implementations and the associated tradeoffs. The findings are compared to the available solutions in the literature. The efficient calibration of the DAC binary currents is identified a
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