Digitally Assisted Pipeline ADCs

Theory and Implementation
Softcover Nachdruck of the original 1. Auflage 2004
ISBN: 978-1-4419-5443-5
Verlag: Springer US

Buch, Englisch, 155 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 283 g

Digitally Assisted Pipeline ADCs: Theory and Implementation explores the opportunity to reduce ADC power dissipation by leveraging digital signal processing capabilities in fine line integrated circuit technology. The described digitally assisted pipelined ADC uses a statistics-based system identification technique as an enabling element to replace precision residue amplifiers with simple open-loop gain stages. The digital compensation of analog circuit distortion eliminates one key factor in the classical noise-speed-linearity constraint loop and thereby enables a significant power reduction.
Digitally Assisted Pipeline ADCs: Theory and Implementation describes in detail the implementation and measurement results of a 12-bit, 75-MSample/sec proof-of-concept prototype. The Experimental converter achieves power savings greater than 60% over conventional implementations.
Digitally Assisted Pipeline ADCs: Theory and Implementationwill be of interest to researchers and professionals interested in advances of state-of-the-art in A/D conversion techniques.

Zielgruppe

Research

Autoren/Hrsg.

Boser, Bernhard E.

Murmann, Boris

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik

Inhaltsverzeichnis

List of Figures.- List of Tables.- Acknowledgements.- Preface.- 1: Introduction.- 2: Performance Trends.- 3: Scaling Analysis.- 4: Improving Analog Circuit Efficiency.- 5: Open-Loop Pipelined ADCs.- 6: Digital Nonlinearity Correction.- 7: Statistics-Based Parameter Estimation.- 8: Prototype Implementation.- 9: Experimental Results.- 10: Conclusion.- Appendices. A: Open-Loop Charge Redistribution. B: Estimator Variance. C: LMS Loop Analysis. 1. Time Constant. 2. Output Variance. 3. Maximum Gain Parameters.- References.- Index.